A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems

Activity-based scheduling optimization is a combinatorial problem built on the traveling salesman problem intending to optimize people schedules considering their trips and the available transportation network. Due to the difficulty of scheduling, traditional and exact methods are unable to provide...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Applied soft computing Ročník 148; s. 110908
Hlavní autoři: Toaza, Bladimir, Esztergár-Kiss, Domokos
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.11.2023
Témata:
Bibliometric analysis
Metaheuristic algorithms
Optimization problems
Scheduling optimization
Traveling salesman problem
Traveling salesman problem
Bibliometric analysis
Optimization problems
Scheduling optimization
Metaheuristic algorithms
ISSN:1568-4946, 1872-9681
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Activity-based scheduling optimization is a combinatorial problem built on the traveling salesman problem intending to optimize people schedules considering their trips and the available transportation network. Due to the difficulty of scheduling, traditional and exact methods are unable to provide appropriate solutions. Hence, new approaches have been introduced in the literature to settle these complex problems. One group of new techniques is known as metaheuristic algorithms, which provides a robust family of problem-solving methods created by mimicking natural phenomena. Although these new techniques might not find an optimal solution, they can find a near-optimal one in a moderate period. Furthermore, a myriad of novel algorithms has been introduced making it tedious for academics to select the appropriate technique. Thus, this paper investigates the contribution of metaheuristics to solve transportation-related optimization problems. To achieve this aim, we conducted a bibliometric analysis, and defined the descriptive and assessment features for 120 metaheuristics. The findings of the study reveal the usage tendencies of the algorithms, identify the most prevalent ones, and highlight those metaheuristics that have a potential use in upcoming research. The results demonstrate that the most applied metaheuristic algorithm is the genetic algorithm, but the ant colony optimization algorithm is the most popular one based on the number of citations. Lastly, we open a discussion on a few unexplored research gaps and expectations. •Review of 120 metaheuristics solving TSP-based scheduling optimization problems.•Tabular summary of descriptive and assessment features of the metaheuristics.•Automation of large amount of search terms using a programming language and an API.•GA is the most applied algorithm in publications, but ACO is the most cited one.
AbstractList Activity-based scheduling optimization is a combinatorial problem built on the traveling salesman problem intending to optimize people schedules considering their trips and the available transportation network. Due to the difficulty of scheduling, traditional and exact methods are unable to provide appropriate solutions. Hence, new approaches have been introduced in the literature to settle these complex problems. One group of new techniques is known as metaheuristic algorithms, which provides a robust family of problem-solving methods created by mimicking natural phenomena. Although these new techniques might not find an optimal solution, they can find a near-optimal one in a moderate period. Furthermore, a myriad of novel algorithms has been introduced making it tedious for academics to select the appropriate technique. Thus, this paper investigates the contribution of metaheuristics to solve transportation-related optimization problems. To achieve this aim, we conducted a bibliometric analysis, and defined the descriptive and assessment features for 120 metaheuristics. The findings of the study reveal the usage tendencies of the algorithms, identify the most prevalent ones, and highlight those metaheuristics that have a potential use in upcoming research. The results demonstrate that the most applied metaheuristic algorithm is the genetic algorithm, but the ant colony optimization algorithm is the most popular one based on the number of citations. Lastly, we open a discussion on a few unexplored research gaps and expectations. •Review of 120 metaheuristics solving TSP-based scheduling optimization problems.•Tabular summary of descriptive and assessment features of the metaheuristics.•Automation of large amount of search terms using a programming language and an API.•GA is the most applied algorithm in publications, but ACO is the most cited one.
ArticleNumber 110908
Author Toaza, Bladimir
Esztergár-Kiss, Domokos
Author_xml – sequence: 1
  givenname: Bladimir
  orcidid: 0000-0002-1338-1215
  surname: Toaza
  fullname: Toaza, Bladimir
  email: ltoaza93@edu.bme.hu
  organization: Department of Transport Technology and Economics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
– sequence: 2
  givenname: Domokos
  orcidid: 0000-0002-7424-4214
  surname: Esztergár-Kiss
  fullname: Esztergár-Kiss, Domokos
  organization: Department of Transport Technology and Economics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
BookMark eNp9kE1LAzEQhoNUsK3-AU_5A1s32XQ_wEspfkFBwXryEJLZSZuyuylJrOivd9d68tDTDMP7DDPPhIw61yEh1yydsZTlN7uZCg5mPOXZjLG0SsszMmZlwZMqL9mo7-d5mYhK5BdkEsIu7aGKl2PyvqAeDxY_qTO0xai2-OFtiBaoajbO27htAzXO0-Cag-02dP36kmgVsKYBtlh_NMPQ7aNt7beK1nV0751usA2X5NyoJuDVX52St_u79fIxWT0_PC0XqwQyIWLCoBKQ10Wt5rzMdWXQGAG6VAUyjYVSvNDa1DkgR51pqDItIFPCKATRZ7Mp4ce94F0IHo3ce9sq_yVZKgc9cicHPXLQI496eqj8B4GNv_dHr2xzGr09otg_1bvzMoDFDrC2HiHK2tlT-A9peYcS
CitedBy_id crossref_primary_10_1016_j_cma_2025_118318
crossref_primary_10_3390_math13111704
crossref_primary_10_3390_sym17081226
crossref_primary_10_3390_app15095117
crossref_primary_10_3390_sym17081267
crossref_primary_10_3390_s25092666
crossref_primary_10_1007_s13369_024_09094_3
crossref_primary_10_1051_e3sconf_202452201014
crossref_primary_10_1111_itor_13623
crossref_primary_10_1016_j_omega_2024_103226
crossref_primary_10_1109_ACCESS_2024_3365700
crossref_primary_10_31857_S0005231024070083
crossref_primary_10_1038_s41598_024_66450_x
crossref_primary_10_7717_peerj_cs_2722
crossref_primary_10_1016_j_asoc_2024_111845
crossref_primary_10_1109_ACCESS_2024_3462470
crossref_primary_10_23919_CSMS_2024_0037
crossref_primary_10_1371_journal_pone_0331965
crossref_primary_10_3390_jmse12050841
crossref_primary_10_1007_s11227_024_06709_2
crossref_primary_10_1016_j_cie_2024_109931
crossref_primary_10_1016_j_rineng_2024_103627
crossref_primary_10_31857_S0005117924070074
crossref_primary_10_1016_j_compag_2025_110692
crossref_primary_10_1016_j_cor_2024_106548
crossref_primary_10_1007_s11227_025_07410_8
crossref_primary_10_1016_j_swevo_2024_101823
crossref_primary_10_1016_j_asoc_2025_112900
crossref_primary_10_1016_j_aei_2024_102362
crossref_primary_10_1007_s10732_024_09542_1
crossref_primary_10_3390_app142411786
crossref_primary_10_1049_pel2_70056
crossref_primary_10_3390_math12071059
crossref_primary_10_1007_s10559_025_00741_7
crossref_primary_10_1038_s41598_025_04370_0
crossref_primary_10_1007_s10586_025_05115_4
crossref_primary_10_1109_TPWRS_2025_3525488
crossref_primary_10_1007_s10586_024_04753_4
crossref_primary_10_1016_j_adhoc_2024_103704
crossref_primary_10_1016_j_autcon_2025_106290
crossref_primary_10_1016_j_ins_2024_121034
crossref_primary_10_1016_j_knosys_2025_113558
crossref_primary_10_1016_j_eswa_2024_125491
crossref_primary_10_3390_make7010024
crossref_primary_10_1590_0101_7438_2025_045_00291911
crossref_primary_10_1002_cpe_70163
crossref_primary_10_1109_ACCESS_2024_3466529
crossref_primary_10_1016_j_asoc_2025_113462
crossref_primary_10_1109_ACCESS_2025_3560579
crossref_primary_10_1186_s40537_025_01080_2
crossref_primary_10_1016_j_asoc_2023_111162
crossref_primary_10_1109_ACCESS_2025_3554690
crossref_primary_10_1109_ACCESS_2024_3459390
crossref_primary_10_1016_j_compeleceng_2024_109566
crossref_primary_10_3390_ijgi13020059
crossref_primary_10_1109_TIM_2024_3381251
crossref_primary_10_7717_peerj_cs_2611
crossref_primary_10_1016_j_softx_2025_102210
crossref_primary_10_1016_j_eswa_2024_126095
crossref_primary_10_1016_j_eswa_2025_128257
crossref_primary_10_1134_S0005117924700073
crossref_primary_10_25100_iyc_v27i1_14352
Cites_doi 10.1007/s11047-008-9098-4
10.1109/ACCESS.2022.3153493
10.1016/j.jbusres.2021.04.070
10.1007/s12559-020-09730-8
10.1007/s11356-021-16420-x
10.1061/(ASCE)0733-9496(2003)129:3(210)
10.1080/19427867.2019.1702250
10.1016/j.swevo.2019.100607
10.1016/j.eswa.2021.114639
10.1109/TCYB.2015.2409837
10.1016/j.engappai.2016.04.004
10.1016/j.advengsoft.2015.11.004
10.1109/ICES.2014.7008734
10.1007/s11192-015-1645-z
10.1016/j.eswa.2015.04.055
10.1109/TSMCC.2011.2148712
10.1016/j.swevo.2019.03.013
10.1126/science.220.4598.671
10.1007/s00521-022-07639-x
10.1177/003754970107600201
10.1109/CEC.2006.1688455
10.1504/IJBIC.2011.043624
10.1007/978-3-642-20525-5_26
10.1007/s10462-020-09952-0
10.1016/j.cie.2019.106040
10.1007/11801603_94
10.1016/j.swevo.2018.02.013
10.1016/j.asoc.2017.12.031
10.1016/j.cie.2004.06.006
10.1016/j.cor.2014.10.008
10.1016/0305-0548(86)90048-1
10.1016/j.knosys.2011.07.001
10.1016/j.jocs.2021.101388
10.1109/ISCBI.2015.8
10.1007/s00521-020-05296-6
10.1016/j.eswa.2011.04.163
10.1016/j.asoc.2018.07.033
10.1109/ICSCCW.2009.5379451
10.1109/MCS.2002.1004010
10.1016/j.engappai.2019.01.001
10.1007/s00521-015-1920-1
10.1016/j.asoc.2021.107275
10.1016/j.knosys.2015.07.006
10.1145/1830483.1830526
10.1007/s11047-020-09824-0
10.1016/j.procs.2015.12.333
10.3390/app11146449
10.1007/s10489-018-1261-8
10.1016/j.advengsoft.2005.04.005
10.1109/IRI.2009.5211598
10.1142/9789814534116
10.1007/978-3-030-26369-0_9
10.1109/3477.484436
10.3390/su12166422
10.1007/978-3-319-10377-8_13
10.1109/CEC.2009.4983241
10.1007/s10462-023-10470-y
10.1016/j.advengsoft.2015.01.010
10.1007/s10462-017-9605-z
10.1016/j.cie.2014.01.015
10.1109/CEC.2001.934391
10.1007/978-981-15-2188-1_5
10.1109/SMC52423.2021.9659164
10.1007/s10951-010-0205-x
10.1016/j.trpro.2021.01.008
10.1145/3450292.3450308
10.3390/math10030475
10.1109/ICDIM.2015.7381893
10.1007/s10489-013-0512-y
10.1002/bs.3830110403
10.1109/ICNN.1995.488968
10.1007/s11831-022-09736-5
10.1016/j.advengsoft.2017.07.002
10.1007/978-3-642-30976-2_31
10.1109/TAI.1990.130444
10.1007/s10559-009-9134-0
10.1111/coin.12053
10.1109/4235.585892
10.1007/s10462-016-9486-6
10.1016/j.swevo.2021.100888
10.1016/j.procs.2015.12.291
10.1007/978-3-642-37371-8_26
10.1093/comjnl/bxy133
10.1109/TEVC.2008.919004
10.1287/ijoc.4.4.387
10.1109/TEVC.2009.2033580
10.1080/10630732.2017.1407998
10.4316/AECE.2017.02010
10.1287/opre.35.2.254
10.1016/j.compind.2020.103322
10.1109/ChiCC.2014.6896450
10.1002/net.3230110210
10.12928/telkomnika.v16i2.9021
10.1007/s11747-017-0563-4
10.1016/j.advengsoft.2013.12.007
10.1016/j.cie.2019.106242
10.1016/j.asoc.2015.02.014
10.1016/j.eswa.2020.113377
10.1007/s00521-015-1923-y
10.1016/j.asoc.2022.108469
10.1016/j.advengsoft.2016.01.008
10.1016/0377-2217(92)90138-Y
10.1016/j.eswa.2020.113246
10.1016/j.engappai.2017.01.006
10.1111/j.1475-3995.2000.tb00200.x
10.1155/2014/627416
10.1016/j.jbusres.2019.07.039
10.1016/j.ins.2009.03.004
10.1016/j.ecoinf.2006.07.003
10.1007/s00500-018-3102-4
10.1155/2021/6668345
10.1111/j.1540-5915.1977.tb01074.x
10.1016/j.compstruc.2012.07.010
10.1007/s00521-013-1433-8
10.1142/S0218213018500355
10.1016/j.cnsns.2009.11.003
10.1109/IPC.2007.104
10.1063/1.2817338
10.1142/S021962201450031X
10.1016/B978-0-12-819714-1.00020-8
10.1109/TITS.2018.2808179
10.1080/0305215X.2018.1463527
10.33383/2019-029
10.1108/IJICC-02-2014-0005
10.1007/s11831-021-09574-x
10.1016/j.ins.2012.11.013
10.1287/trsc.2020.1017
10.1016/j.ins.2012.08.023
10.1109/ICCIT.2009.319
10.1145/937503.937505
10.3311/PPtr.21485
10.1109/PAAP54281.2021.9720453
10.1016/j.knosys.2015.12.022
10.1007/s10462-020-09906-6
10.1007/s12293-013-0128-0
10.1007/s10898-007-9149-x
10.1016/j.advengsoft.2017.05.014
10.1111/j.1471-1842.2009.00848.x
10.1016/j.asoc.2021.107439
10.3389/fbuil.2021.618851
10.1016/j.engappai.2022.105622
10.1016/j.cie.2021.107408
10.1080/0952813X.2015.1042530
10.1109/4235.771166
10.1109/CONFLUENCE.2016.7508040
10.1109/ICCET.2010.5485993
10.1016/j.cie.2022.108161
10.1177/0312896219877678
10.1016/j.cma.2020.113609
10.1109/CEC.2007.4425083
10.3390/math10111796
10.1016/j.compstruc.2016.03.001
10.1504/IJBIC.2009.022775
10.1007/3-540-29937-8_11
10.1016/S0305-0548(97)00031-2
10.3390/math9182335
10.1109/ICDS53782.2021.9626724
ContentType Journal Article
Copyright 2023 The Authors
Copyright_xml – notice: 2023 The Authors
DBID 6I.
AAFTH
AAYXX
CITATION
DOI 10.1016/j.asoc.2023.110908
DatabaseName ScienceDirect Open Access Titles
Elsevier:ScienceDirect:Open Access
CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 1872-9681
ExternalDocumentID 10_1016_j_asoc_2023_110908
S1568494623009262
GroupedDBID --K
--M
.DC
.~1
0R~
1B1
1~.
1~5
23M
4.4
457
4G.
53G
5GY
5VS
6I.
6J9
7-5
71M
8P~
AABNK
AACTN
AAEDT
AAEDW
AAFTH
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AAXUO
AAYFN
ABBOA
ABFNM
ABFRF
ABJNI
ABMAC
ABXDB
ABYKQ
ACDAQ
ACGFO
ACGFS
ACNNM
ACRLP
ACZNC
ADBBV
ADEZE
ADJOM
ADMUD
ADTZH
AEBSH
AECPX
AEFWE
AEKER
AENEX
AFKWA
AFTJW
AGHFR
AGUBO
AGYEJ
AHJVU
AHZHX
AIALX
AIEXJ
AIKHN
AITUG
AJBFU
AJOXV
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
AOUOD
ASPBG
AVWKF
AXJTR
AZFZN
BJAXD
BKOJK
BLXMC
CS3
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
GBOLZ
HVGLF
HZ~
IHE
J1W
JJJVA
KOM
M41
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
RIG
ROL
RPZ
SDF
SDG
SES
SEW
SPC
SPCBC
SST
SSV
SSZ
T5K
UHS
UNMZH
~G-
9DU
AATTM
AAXKI
AAYWO
AAYXX
ABWVN
ACLOT
ACRPL
ACVFH
ADCNI
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AGQPQ
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
CITATION
EFKBS
~HD
ID FETCH-LOGICAL-c344t-1c94c6d7da5286b9feff4cb8a7e1be7aa27bbfd6ce2eb3bc93b4c3a4faec4eff3
ISICitedReferencesCount 75
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001094429700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1568-4946
IngestDate Sat Nov 29 07:02:17 EST 2025
Tue Nov 18 22:36:52 EST 2025
Sat Feb 24 15:48:57 EST 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords Traveling salesman problem
Bibliometric analysis
Optimization problems
Scheduling optimization
Metaheuristic algorithms
Language English
License This is an open access article under the CC BY-NC-ND license.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c344t-1c94c6d7da5286b9feff4cb8a7e1be7aa27bbfd6ce2eb3bc93b4c3a4faec4eff3
ORCID 0000-0002-1338-1215
0000-0002-7424-4214
OpenAccessLink https://dx.doi.org/10.1016/j.asoc.2023.110908
ParticipantIDs crossref_primary_10_1016_j_asoc_2023_110908
crossref_citationtrail_10_1016_j_asoc_2023_110908
elsevier_sciencedirect_doi_10_1016_j_asoc_2023_110908
PublicationCentury 2000
PublicationDate November 2023
2023-11-00
PublicationDateYYYYMMDD 2023-11-01
PublicationDate_xml – month: 11
  year: 2023
  text: November 2023
PublicationDecade 2020
PublicationTitle Applied soft computing
PublicationYear 2023
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References X. Zhang, K. Jiang, H. Wang, W. Li, B. Sun, An Improved Bean Optimization Algorithm for Solving TSP, in: Y. Tan, Y. Shi, Z. Ji (Eds.), Adv. Swarm Intell., Springer Berlin Heidelberg, Berlin, Heidelberg, 2012: pp. 261–267. https://doi.org/10.1007/978–3-642–30976-2_31.
Fakhravar (bib52) 2022
Yang (bib131) 2009
Samareh Moosavi, Bardsiri (bib150) 2017; 60
Agung, Christine (bib51) 2021; 1
Guo, Li, Lv, Liu, Duffy (bib60) 2020; 36
Blum, Roli (bib38) 2003; 35
Pan (bib134) 2012; 26
Krishnanand, Ghose (bib135) 2009; 1
Mladenović, Hansen (bib192) 1997; 24
Fogarasi, Tüü-Szabó, Földesi, Kóczy (bib53) 2022
Eskandar, Sadollah, Bahreininejad, Hamdi (bib176) 2012; 111
Tafakkori, Tavakkoli-Moghaddam (bib212) 2022; 55
R.G. Reynolds, An introduction to cultural algorithms, in: A. V. Sebald, L.J. Fogel (Eds.), Proc. Third Annu. Conf. Evol. Program., World Scientific Publishing Co. Pte. Ltd., San Diego, California, USA, 1994: pp. 131–139. https://doi.org/10.1142/9789814534116.
M. Kripka, R.M.L. Kripka, Big crunch optimization method, in: Int. Conf. Eng. Optim., Rio de Janeiro, Brazil, 2008: pp. 1–5.
Lam, Li (bib167) 2010; 14
Laporte (bib7) 1992; 59
Snyder (bib57) 2019; 104
Osaba, Villar-Rodriguez, Del Ser, Nebro, Molina, LaTorre, Suganthan, Coello Coello, Herrera (bib74) 2021; 64
Banerjee, Singh, Sahana, Nath (bib205) 2022
Rabanal, Rodríguez, Rubio (bib174) 2007
Kirkpatrick, Gelatt, Vecchi (bib175) 1983
.
E. Duman, M. Uysal, A.F. Alkaya, Migrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic Assignment Problem, in: C. Di Chio, S. Cagnoni, C. Cotta, M. Ebner, A. Ekárt, A.I. Esparcia-Alcázar, J.J. Merelo, F. Neri, M. Preuss, H. Richter, J. Togelius, G.N. Yannakakis (Eds.), Appl. Evol. Comput., Springer Berlin Heidelberg, Berlin, Heidelberg, 2011: pp. 254–263. https://doi.org/10.1007/978–3-642–20525-5_26.
Alorf (bib34) 2023; 117
Tilahun, Ong (bib147) 2015; 14
Abualigah, Diabat, Mirjalili, Abd Elaziz, Gandomi (bib197) 2021; 376
Rao (bib200) 2016; 7
Li, Zhang, Yin (bib104) 2014; 24
Eiben, Hinterding, Michalewicz (bib71) 1999; 3
He, Wu, Saunders (bib137) 2006
R. Purkayastha, T. Chakraborty, A. Saha, D. Mukhopadhyay, Study and analysis of various heuristic algorithms for solving travelling salesman problem—A survey, in: J. Mandal, S. Mukhopadhyay (Eds.), Proc. Glob. AI Congr. 2019. Adv. Intell. Syst. Comput., Springer, Singapore, 2020: pp. 61–70.
Yang (bib110) 2010
Fister, Yang, Fister, Brest, Fister (bib24) 2013; 80
Civicioglu (bib107) 2013; 229
Storn, Price (bib91) 1997; 11
Halim, Ismail (bib195) 2018; 16
Yampolskiy, EL-Barkouky (bib159) 2011; 3
Hatamlou (bib166) 2013; 222
Gheraibia, Moussaoui (bib145) 2013
J.D. McCaffrey, Generation of pairwise test sets using a simulated bee colony algorithm, in: 2009 IEEE Int. Conf. Inf. Reuse Integr., 2009: pp. 115–119.
Afroughinia, Moghaddam (bib181) 2018; 27
Faramarzi, Heidarinejad, Mirjalili, Gandomi (bib139) 2020; 152
Ait Bouziaren, Aghezzaf (bib46) 2019; 20
Ferreira (bib94) 2002
Passino (bib109) 2002; 22
Yu, Li (bib153) 2015; 30
Linnenluecke, Marrone, Singh (bib59) 2020; 45
Yousefikhoshbakht (bib8) 2021; 2021
Krishna, Majhi (bib211) 2022
Yang, Deb (bib126) 2009
Glover (bib99) 1977; 8
B. Barzegar, A.M. Rahmani, K. Zamanifar, A. Divsalar, Gravitational Emulation Local Search Algorithm for Advanced Reservation and Scheduling in Grid Computing Systems, in: 2009 Fourth Int. Conf. Comput. Sci. Converg. Inf. Technol., 2009: pp. 1240–1245. https://doi.org/10.1109/ICCIT.2009.319.
Cuevas, Fausto, González (bib40) 2020
A.P. Agrawal, A. Kaur, An empirical evaluation of three popular meta-heuristics for solving Travelling Salesman Problem, in: 2016 6th Int. Conf. - Cloud Syst. Big Data Eng., IEEE, Noida, India, 2016: pp. 16–21.
Saji, Barkatou (bib207) 2021; 172
Bianchi, Dorigo, Gambardella, Gutjahr (bib39) 2009; 8
Rao, Savsani, Vakharia (bib191) 2011; 43
C. Sur, S. Sharma, A. Shukla, Egyptian Vulture Optimization Algorithm -- A New Nature Inspired Meta-heuristics for Knapsack Problem, in: P. Meesad, H. Unger, S. Boonkrong (Eds.), 9th Int. Conf. Comput. InformationTechnology, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013: pp. 227–237.
Fogel, Owens, Walsh (bib92) 1966; 11
Marinakis, Marinaki, Matsatsinis (bib116) 2010
J.-P. Arnaout, Worm optimization: a novel optimization algorithm inspired by C. Elegans, in: Proc. 2014 Int. Conf. Ind. Eng. Oper. Manag. Indones., 2014: pp. 2499–2505.
Rajpurohit, Sharma, Abraham (bib25) 2017; 9
Mirjalili (bib127) 2016; 27
Tzanetos, Fister, Dounias (bib32) 2020; 31
Elsevier B.V., Scopus Search A.P.I., 2022.
A. Karci, A new meta-heuristic algorithm based on chemical process: Atom algorithm., in: Proc. 1st Int. Eurasian Conf. Math. Sci. Appl., Prishtine, Kosova, 2012: pp. 85–86.
Bansal, Sharma, Jadon, Clerc (bib154) 2014; 6
Glover (bib190) 1986; 13
Muñoz, Rubio (bib206) 2021; 53
Eusuff, Lansey (bib101) 2003; 129
Ayyarao, Ramakrishna, Elavarasan, Polumahanthi, Rambabu, Saini, Khan, Alatas (bib203) 2022; 10
Zhang, Jin (bib187) 2020; 148
Gunduz, Aslan (bib209) 2021; 105
Zhou, Song, Pedrycz (bib50) 2018; 64
Punnathanam, Kotecha (bib202) 2016; 54
Esztergár-Kiss, Rózsa, Tettamanti (bib13) 2018; 25
Z. Wu, A comparative study of solving Traveling Salesman Problem with genetic algorithm, ant colony algorithm, and particle swarm optimization, in: 2020 2nd Int. Conf. Robot. Syst. Veh. Technol., Association for Computing Machinery, New York, USA, 2020: pp. 95–99.
Shayanfar, Gharehchopogh (bib185) 2018; 71
Khalid, Hosny, Mirjalili (bib90) 2022; 34
Brammya, Praveena, Ninu Preetha, Ramya, Rajakumar, Binu (bib184) 2019
Elshaer, Awad (bib41) 2020; 140
Wang, Deb, Cui (bib141) 2015; 31
Nissen (bib20) 1995
Sadiq Al-Obaidi, Abdullah, Ahmed (bib118) 2017; 3
Wang, Han (bib82) 2021; 107
Geem, Kim, Loganathan (bib172) 2001; 76
Bentley (bib36) 1992; 4
Akbari, Mohammadi, Ziarati (bib112) 2010; 15
C. ZhaoHui, T. HaiYan, Cockroach Swarm Optimization, Proc. 2nd Int. Conf. Comput. Eng. Technol. (ICCET ’10). 6 (2010).
Y. Luo, O. Dib, J. Zian, H. Bingxu, A new memetic algorithm to solve the stochastic TSP, in: 2021 12th Int. Symp. Parallel Archit. Algorithms Program., IEEE, Xi’an, China, China, 2021: pp. 69–75.
Sulaiman, Salhi, Selamoglu, Kirikchi (bib194) 2014; 2014
Yang (bib193) 2012
Stegherr, Heider, Hähner (bib28) 2022; 21
Laporte, Gendreau, Potvin, Semet (bib37) 2000; 7
Mirjalili (bib105) 2015; 83
Li, Burnham, Lemley, Britton (bib66) 2010; 7
Meng, Gao, Lu, Liu, Zhang (bib115) 2016; 28
Wang, Zhou, Wang, Zhang, Chen, Zheng (bib83) 2016; 46
Zelinka (bib100) 2004
Mehrabian, Lucas (bib96) 2006; 1
Dokeroglu, Sevinc, Kucukyilmaz, Cosar (bib3) 2019; 137
Peres, Castelli (bib43) 2021; 11
Yang, Wang (bib178) 2007; 24
Rahimi, Nematian (bib61) 2022; 29
S. Boettcher, A.G. Percus, Extremal Optimization: Methods Derived from Co-Evolution, in: Proc. 1st Annu. Conf. Genet. Evol. Comput. - Vol. 1. GECCO’99, Orlando, FL, USA, 1999: pp. 825–832. https://doi.org/10.48550/arXiv.math/9904056.
Purnomo, Wee (bib189) 2013
E. Osaba, X.-S. Yang, J. Del Ser, Traveling salesman problem: A perspective review of recent research and new results with bio-inspired metaheuristics, in: X.-S. Yang (Ed.), Nature-Inspired Comput. Swarm Intell., Elsevier, London, United Kingdom, 2020: pp. 135–164. https://doi.org/10.1016/B978–0-12–819714-1.00020–8.
Dhiman, Kumar (bib155) 2017; 114
Mirjalili (bib152) 2016; 96
Duan, Qiao (bib146) 2014; 7
Li, Zhao, Weng, Han (bib157) 2016; 92
A. Mucherino, O. Seref, Monkey search: a novel metaheuristic search for global optimization, AIP Conf. Proc. 953 (2007) 162–173. https://doi.org/10.1063/1.2817338.
Solomon (bib35) 1987; 35
Aziz (bib49) 2015; 76
Mirjalili, Mirjalili, Lewis (bib136) 2014; 69
Roberti, Ruthmair (bib48) 2021; 55
Alatas, Bingöl (bib27) 2020
H.A. Abbass, MBO: marriage in honey bees optimization-a Haplometrosis polygynous swarming approach, in: Proc. 2001 Congr. Evol. Comput., 2001: pp. 207–214 vol. 1. https://doi.org/10.1109/CEC.2001.934391.
Hussain, Mohd Salleh, Cheng, Shi (bib4) 2019; 52
Kiran (bib196) 2015; 42
Meng, Liu, Gao, Zhang (bib121) 2014
Feng, Ma, Yu (bib168) 2016; 32
C. Yang, X. Tu, J. Chen, Algorithm of Marriage in Honey Bees Optimization Based on the Wolf Pack Search, in: 2007 Int. Conf. Intell. Pervasive Comput. (IPC 2007), 2007: pp. 462–467. https://doi.org/10.1109/IPC.2007.104.
S. Iordache, Consultant-guided search: A new metaheuristic for combinatorial optimization problems, in: Proc. 12th Annu. Conf. Genet. Evol. Comput., Association for Computing Machinery, Portland, Oregon, USA, 2010: pp. 225–232.
(accessed November 1, 2022).
Mirjalili, Lewis (bib158) 2016; 95
Dekhtyaruk (bib9) 2023
Shyu, Lin, Yin (bib79) 2004; 47
Anita (bib163) 2019; 48
Halim, Ismail, Das (bib15) 2021; 543
M. Adham, P. Bentley, An Artificial Ecosystem Algorithm applied to static and Dynamic Travelling Salesman Problems, in: 2014 IEEE Int. Conf. Evolvable Syst., 2015: pp. 149–156.
X.L. Li, Z.J. SHAO, J.X. QIAN, An Optimizing Method Based on Autonomous Animats: Fish-swarm Algorithm, Syst. Eng. - Theory Pract. (2002).
S. Rbihou, K. Haddouch, Comparative study between a neural network, approach metaheuristic and exact method for solving Traveling salesman Problem, in: 2021 Fifth Int. Conf. Intell. Comput. Data Sci., IEEE, 2021: pp. 1–5. https://doi.org/10.1109/ICDS53782.2021.9626724.
Sergienko, Hulianytskyi, Sirenko (bib23) 2009; 45
Panwar, Panigrahi, Kumar (bib114) 2019; 51
G.-G. Wang, S. Deb, L. dos S. Coelho, Elephant Herding Optimization, in: 2015 3rd Int. Symp. Comput. Bus. Intell., IEEE, Bali, Indonesia, 2015: pp. 1–5. https://doi.org/10.1109/ISCBI.2015.8.
Pham, Ghanbarzadeh, Koç, Otri, Rahim, Zaidi (bib113) 2006
M. Birattari, L. Paquete, T. Stützle, K. Varrentrapp, Classification of Metaheuristics and Design of Experiments for the Analysis of Components, 2001.
Simon (bib88) 2008; 12
Dorigo, Maniezzo, Colorni (bib80) 1996; 26
Tanyildizi, Demir (bib198) 2017; 17
Shah-Hosseini (bib173) 2009; 1
Shi (bib180) 2011
Santos, Madureira, Varela (bib45) 2022; 10
Al-Betar, Alyasseri, Awadallah, Abu Doush (bib182) 2021; 33
Shah-Hosseini (bib169) 2011
X. Li, A new intelligent optimization-artificial fish swarm algorithm,
Mladenović (10.1016/j.asoc.2023.110908_bib192) 1997; 24
10.1016/j.asoc.2023.110908_bib108
Marinakis (10.1016/j.asoc.2023.110908_bib116) 2010
Li (10.1016/j.asoc.2023.110908_bib157) 2016; 92
Akbari (10.1016/j.asoc.2023.110908_bib112) 2010; 15
Yang (10.1016/j.asoc.2023.110908_bib126) 2009
10.1016/j.asoc.2023.110908_bib111
Esztergár-Kiss (10.1016/j.asoc.2023.110908_bib13) 2018; 25
Glover (10.1016/j.asoc.2023.110908_bib99) 1977; 8
Rashedi (10.1016/j.asoc.2023.110908_bib171) 2009; 179
Santos (10.1016/j.asoc.2023.110908_bib45) 2022; 10
Solomon (10.1016/j.asoc.2023.110908_bib35) 1987; 35
Ferreira (10.1016/j.asoc.2023.110908_bib94) 2002
10.1016/j.asoc.2023.110908_bib119
Elshaer (10.1016/j.asoc.2023.110908_bib41) 2020; 140
10.1016/j.asoc.2023.110908_bib122
10.1016/j.asoc.2023.110908_bib123
Purnomo (10.1016/j.asoc.2023.110908_bib189) 2013
Snyder (10.1016/j.asoc.2023.110908_bib57) 2019; 104
Dillen (10.1016/j.asoc.2023.110908_bib70) 2021; 7
Alatas (10.1016/j.asoc.2023.110908_bib27) 2020
Yang (10.1016/j.asoc.2023.110908_bib178) 2007; 24
Guo (10.1016/j.asoc.2023.110908_bib60) 2020; 36
Dhiman (10.1016/j.asoc.2023.110908_bib155) 2017; 114
Passino (10.1016/j.asoc.2023.110908_bib109) 2002; 22
10.1016/j.asoc.2023.110908_bib210
Kirkpatrick (10.1016/j.asoc.2023.110908_bib175) 1983
Romanelli (10.1016/j.asoc.2023.110908_bib55) 2021; 28
10.1016/j.asoc.2023.110908_bib11
Banerjee (10.1016/j.asoc.2023.110908_bib205) 2022
10.1016/j.asoc.2023.110908_bib17
10.1016/j.asoc.2023.110908_bib18
10.1016/j.asoc.2023.110908_bib16
Karaboga (10.1016/j.asoc.2023.110908_bib106) 2007; 39
Laporte (10.1016/j.asoc.2023.110908_bib37) 2000; 7
Halim (10.1016/j.asoc.2023.110908_bib15) 2021; 543
Donthu (10.1016/j.asoc.2023.110908_bib64) 2021; 133
Palmatier (10.1016/j.asoc.2023.110908_bib62) 2018; 46
Osaba (10.1016/j.asoc.2023.110908_bib74) 2021; 64
10.1016/j.asoc.2023.110908_bib21
Meng (10.1016/j.asoc.2023.110908_bib121) 2014
Storn (10.1016/j.asoc.2023.110908_bib91) 1997; 11
Linnenluecke (10.1016/j.asoc.2023.110908_bib59) 2020; 45
Yang (10.1016/j.asoc.2023.110908_bib193) 2012
Krishna (10.1016/j.asoc.2023.110908_bib211) 2022
Rajwar (10.1016/j.asoc.2023.110908_bib33) 2023
Yousefikhoshbakht (10.1016/j.asoc.2023.110908_bib8) 2021; 2021
Nissen (10.1016/j.asoc.2023.110908_bib20) 1995
Feng (10.1016/j.asoc.2023.110908_bib168) 2016; 32
Eiben (10.1016/j.asoc.2023.110908_bib71) 1999; 3
10.1016/j.asoc.2023.110908_bib151
Wang (10.1016/j.asoc.2023.110908_bib83) 2016; 46
Chen (10.1016/j.asoc.2023.110908_bib78) 2011; 38
Rajpurohit (10.1016/j.asoc.2023.110908_bib25) 2017; 9
Tran (10.1016/j.asoc.2023.110908_bib177) 2011; 14
He (10.1016/j.asoc.2023.110908_bib137) 2006
Shyu (10.1016/j.asoc.2023.110908_bib79) 2004; 47
Mirjalili (10.1016/j.asoc.2023.110908_bib149) 2017; 114
10.1016/j.asoc.2023.110908_bib42
10.1016/j.asoc.2023.110908_bib165
Sörensen (10.1016/j.asoc.2023.110908_bib5) 2018
Mirjalili (10.1016/j.asoc.2023.110908_bib127) 2016; 27
Askarzadeh (10.1016/j.asoc.2023.110908_bib125) 2016; 169
Tanyildizi (10.1016/j.asoc.2023.110908_bib198) 2017; 17
Punnathanam (10.1016/j.asoc.2023.110908_bib202) 2016; 54
10.1016/j.asoc.2023.110908_bib161
Erol (10.1016/j.asoc.2023.110908_bib164) 2006; 37
10.1016/j.asoc.2023.110908_bib162
10.1016/j.asoc.2023.110908_bib160
Fakhravar (10.1016/j.asoc.2023.110908_bib52) 2022
Wang (10.1016/j.asoc.2023.110908_bib141) 2015; 31
Esztergár-Kiss (10.1016/j.asoc.2023.110908_bib6) 2020; 12
Dorigo (10.1016/j.asoc.2023.110908_bib80) 1996; 26
Holland (10.1016/j.asoc.2023.110908_bib75) 1975
Abdollahzadeh (10.1016/j.asoc.2023.110908_bib103) 2021; 158
Saji (10.1016/j.asoc.2023.110908_bib207) 2021; 172
Simon (10.1016/j.asoc.2023.110908_bib88) 2008; 12
Ali (10.1016/j.asoc.2023.110908_bib204) 2020; 52
Bianchi (10.1016/j.asoc.2023.110908_bib39) 2009; 8
Mirjalili (10.1016/j.asoc.2023.110908_bib152) 2016; 96
Ait Bouziaren (10.1016/j.asoc.2023.110908_bib46) 2019; 20
10.1016/j.asoc.2023.110908_bib129
Faramarzi (10.1016/j.asoc.2023.110908_bib139) 2020; 152
Krishnanand (10.1016/j.asoc.2023.110908_bib135) 2009; 1
Dekhtyaruk (10.1016/j.asoc.2023.110908_bib9) 2023
10.1016/j.asoc.2023.110908_bib128
Tilahun (10.1016/j.asoc.2023.110908_bib147) 2015; 14
10.1016/j.asoc.2023.110908_bib54
10.1016/j.asoc.2023.110908_bib133
Wang (10.1016/j.asoc.2023.110908_bib82) 2021; 107
10.1016/j.asoc.2023.110908_bib130
Pan (10.1016/j.asoc.2023.110908_bib134) 2012; 26
Yu (10.1016/j.asoc.2023.110908_bib153) 2015; 30
Tafakkori (10.1016/j.asoc.2023.110908_bib212) 2022; 55
Mirjalili (10.1016/j.asoc.2023.110908_bib105) 2015; 83
Hatamlou (10.1016/j.asoc.2023.110908_bib166) 2013; 222
Mirjalili (10.1016/j.asoc.2023.110908_bib158) 2016; 95
10.1016/j.asoc.2023.110908_bib138
Blum (10.1016/j.asoc.2023.110908_bib38) 2003; 35
10.1016/j.asoc.2023.110908_bib65
10.1016/j.asoc.2023.110908_bib144
Geem (10.1016/j.asoc.2023.110908_bib172) 2001; 76
10.1016/j.asoc.2023.110908_bib68
Zelinka (10.1016/j.asoc.2023.110908_bib100) 2004
10.1016/j.asoc.2023.110908_bib69
10.1016/j.asoc.2023.110908_bib140
10.1016/j.asoc.2023.110908_bib142
Yang (10.1016/j.asoc.2023.110908_bib110) 2010
Molina (10.1016/j.asoc.2023.110908_bib31) 2020; 12
Li (10.1016/j.asoc.2023.110908_bib66) 2010; 7
Gheraibia (10.1016/j.asoc.2023.110908_bib145) 2013
Grant (10.1016/j.asoc.2023.110908_bib56) 2009; 26
Fogel (10.1016/j.asoc.2023.110908_bib92) 1966; 11
Zheng (10.1016/j.asoc.2023.110908_bib179) 2015; 55
10.1016/j.asoc.2023.110908_bib72
10.1016/j.asoc.2023.110908_bib73
Osaba (10.1016/j.asoc.2023.110908_bib186) 2014; 41
Zhang (10.1016/j.asoc.2023.110908_bib44) 2022; 29
Hussain (10.1016/j.asoc.2023.110908_bib4) 2019; 52
Abdel-Basset (10.1016/j.asoc.2023.110908_bib29) 2018
Al-Betar (10.1016/j.asoc.2023.110908_bib182) 2021; 33
Dorigo (10.1016/j.asoc.2023.110908_bib77) 1997; 1
Pham (10.1016/j.asoc.2023.110908_bib113) 2006
Halim (10.1016/j.asoc.2023.110908_bib195) 2018; 16
Dalavi (10.1016/j.asoc.2023.110908_bib67) 2022; 169
Shayanfar (10.1016/j.asoc.2023.110908_bib185) 2018; 71
Afroughinia (10.1016/j.asoc.2023.110908_bib181) 2018; 27
Goldberg (10.1016/j.asoc.2023.110908_bib76) 1989
Arora (10.1016/j.asoc.2023.110908_bib117) 2019; 23
Peres (10.1016/j.asoc.2023.110908_bib43) 2021; 11
Roberti (10.1016/j.asoc.2023.110908_bib48) 2021; 55
10.1016/j.asoc.2023.110908_bib87
Brammya (10.1016/j.asoc.2023.110908_bib184) 2019
Cinar (10.1016/j.asoc.2023.110908_bib208) 2020; 23
10.1016/j.asoc.2023.110908_bib85
10.1016/j.asoc.2023.110908_bib89
Lam (10.1016/j.asoc.2023.110908_bib167) 2010; 14
Gunduz (10.1016/j.asoc.2023.110908_bib209) 2021; 105
Meng (10.1016/j.asoc.2023.110908_bib115) 2016; 28
Rabanal (10.1016/j.asoc.2023.110908_bib174) 2007
Gong (10.1016/j.asoc.2023.110908_bib84) 2012; 42
Sayed (10.1016/j.asoc.2023.110908_bib120) 2019; 49
Sergienko (10.1016/j.asoc.2023.110908_bib23) 2009; 45
10.1016/j.asoc.2023.110908_bib93
10.1016/j.asoc.2023.110908_bib97
10.1016/j.asoc.2023.110908_bib98
10.1016/j.asoc.2023.110908_bib95
Sulaiman (10.1016/j.asoc.2023.110908_bib194) 2014; 2014
Shi (10.1016/j.asoc.2023.110908_bib180) 2011
Yang (10.1016/j.asoc.2023.110908_bib131) 2009
Fogarasi (10.1016/j.asoc.2023.110908_bib53) 2022
10.1016/j.asoc.2023.110908_bib170
Rao (10.1016/j.asoc.2023.110908_bib200) 2016; 7
Samareh Moosavi (10.1016/j.asoc.2023.110908_bib150) 2017; 60
Anita (10.1016/j.asoc.2023.110908_bib163) 2019; 48
Bansal (10.1016/j.asoc.2023.110908_bib154) 2014; 6
Boccia (10.1016/j.asoc.2023.110908_bib47) 2021; 52
Zhang (10.1016/j.asoc.2023.110908_bib213) 2022; 118
Akyol (10.1016/j.asoc.2023.110908_bib26) 2017; 47
Ayyarao (10.1016/j.asoc.2023.110908_bib203) 2022; 10
Dragoi (10.1016/j.asoc.2023.110908_bib30) 2021; 9
Wang (10.1016/j.asoc.2023.110908_bib81) 2014; 70
Eusuff (10.1016/j.asoc.2023.110908_bib101) 2003; 129
10.1016/j.asoc.2023.110908_bib183
Fister (10.1016/j.asoc.2023.110908_bib24) 2013; 80
Yampolskiy (10.1016/j.asoc.2023.110908_bib159) 2011; 3
Rico-Garcia (10.1016/j.asoc.2023.110908_bib12) 2020; 123
Tzanetos (10.1016/j.asoc.2023.110908_bib32) 2020; 31
Atashpaz-Gargari (10.1016/j.asoc.2023.110908_bib188) 2007
Eskandar (10.1016/j.asoc.2023.110908_bib176) 2012; 111
Aziz (10.1016/j.asoc.2023.110908_bib49) 2015; 76
Shadravan (10.1016/j.asoc.2023.110908_bib148) 2019; 80
Esztergár-Kiss (10.1016/j.asoc.2023.110908_bib14) 2021; 13
Rahimi (10.1016/j.asoc.2023.110908_bib61) 2022; 29
Dokeroglu (10.1016/j.asoc.2023.110908_bib3) 2019; 137
Rao (10.1016/j.asoc.2023.110908_bib191) 2011; 43
Ball (10.1016/j.asoc.2023.110908_bib19) 1981; 11
Duan (10.1016/j.asoc.2023.110908_bib146) 2014; 7
Khalid (10.1016/j.asoc.2023.110908_bib90) 2022; 34
Pierezan (10.1016/j.asoc.2023.110908_bib124) 2018
Laporte (10.1016/j.asoc.2023.110908_bib7) 1992; 59
Jain (10.1016/j.asoc.2023.110908_bib156) 2019; 44
Sörensen (10.1016/j.asoc.2023.110908_bib22) 2013
Fausto (10.1016/j.asoc.2023.110908_bib1) 2019; 53
Agung (10.1016/j.asoc.2023.110908_bib51) 2021; 1
Shah-Hosseini (10.1016/j.asoc.2023.110908_bib173) 2009; 1
Bentley (10.1016/j.asoc.2023.110908_bib36) 1992; 4
Glover (10.1016/j.asoc.2023.110908_bib190) 1986; 13
10.1016/j.asoc.2023.110908_bib201
Panwar (10.1016/j.asoc.2023.110908_bib114) 2019; 51
Civicioglu (10.1016/j.asoc.2023.110908_bib107) 2013; 229
Dueck (10.1016/j.asoc.2023.110908_bib199) 1993; 104
Stegherr (10.1016/j.asoc.2023.110908_bib28) 2022; 21
Cuevas (10.1016/j.asoc.2023.110908_bib40) 2020
Ellegaard (10.1016/j.asoc.2023.110908_bib63) 2015; 105
Tan (10.1016/j.asoc.2023.110908_bib132) 2010
Li (10.1016/j.asoc.2023.110908_bib104) 2014; 24
Kiran (10.1016/j.asoc.2023.110908_bib196) 2015; 42
Ezugwu (10.1016/j.asoc.2023.110908_bib2) 2021; 54
Shah-Hosseini (10.1016/j.asoc.2023.110908_bib169) 2011
Alorf (10.1016/j.asoc.2023.110908_bib34) 2023; 117
Sadiq Al-Obaidi (10.1016/j.asoc.2023.110908_bib118) 2017; 3
Das (10.1016/j.asoc.2023.110908_bib86) 2009
Onar (10.1016/j.asoc.2023.110908_bib10) 2016
Zhang (10.1016/j.asoc.2023.110908_bib187) 2020; 148
Zhou (10.1016/j.asoc.2023.110908_bib50) 2018; 64
Odili (10.1016/j.asoc.2023.110908_bib102) 2015; 76
Mirjalili (10.1016/j.asoc.2023.110908_bib143) 2015; 89
Mirjalili (10.1016/j.asoc.2023.110908_bib136) 2014; 69
Toloo (10.1016/j.asoc.2023.110908_bib58) 2022; 10
Mehrabian (10.1016/j.asoc.2023.110908_bib96) 2006; 1
Muñoz (10.1016/j.asoc.2023.110908_bib206) 2021; 53
Abualigah (10.1016/j.asoc.2023.11
References_xml – reference: R. Oftadeh, M.J. Mahjoob, A new meta-heuristic optimization algorithm: Hunting Search, in: 2009 Fifth Int. Conf. Soft Comput. Comput. with Words Perceptions Syst. Anal. Decis. Control, IEEE, Famagusta, North Cyprus, 2009: pp. 1–5.
– volume: 14
  start-page: 381
  year: 2010
  end-page: 399
  ident: bib167
  article-title: Chemical-reaction-inspired metaheuristic for optimization
  publication-title: IEEE Trans. Evol. Comput.
– reference: T.Y. Nishida, Membrane Algorithms: Approximate Algorithms for NP-Complete Optimization Problems, in: G. Ciobanu, G. P\uaun, M.J. Pérez-Jiménez (Eds.), Appl. Membr. Comput., Springer Berlin Heidelberg, Berlin, Heidelberg, 2006: pp. 303–314. https://doi.org/10.1007/3–540-29937–8_11.
– volume: 133
  start-page: 285
  year: 2021
  end-page: 296
  ident: bib64
  article-title: How to conduct a bibliometric analysis: an overview and guidelines
  publication-title: J. Bus. Res
– reference: J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proc. ICNN’95 - Int. Conf. Neural Networks, IEEE, Perth, WA, Australia, 1995: pp. 1942–1948.
– volume: 15
  start-page: 3142
  year: 2010
  end-page: 3155
  ident: bib112
  article-title: A novel bee swarm optimization algorithm for numerical function optimization
  publication-title: Commun. Nonlinear Sci. Numer. Simul.
– volume: 7
  start-page: 24
  year: 2014
  end-page: 37
  ident: bib146
  article-title: Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning
  publication-title: Int. J. Intell. Comput. Cyber
– volume: 47
  start-page: 181
  year: 2004
  end-page: 193
  ident: bib79
  article-title: Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time
  publication-title: Comput. Ind. Eng.
– volume: 9
  start-page: 2335
  year: 2021
  ident: bib30
  article-title: Review of metaheuristics inspired from the animal kingdom
  publication-title: Math
– volume: 96
  start-page: 120
  year: 2016
  end-page: 133
  ident: bib152
  article-title: SCA: a sine cosine algorithm for solving optimization problems
  publication-title: Knowl. -Based Syst.
– volume: 9
  year: 2017
  ident: bib25
  article-title: Glossary of metaheuristic algorithms
  publication-title: Int. J. Comput. Inf. Syst. Ind. Manag. Appl.
– volume: 43
  start-page: 303
  year: 2011
  end-page: 315
  ident: bib191
  article-title: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems
  publication-title: Comput. Des.
– volume: 4
  start-page: 387
  year: 1992
  end-page: 411
  ident: bib36
  article-title: Fast algorithms for geometric traveling salesman problems
  publication-title: ORSA J. Comput.
– start-page: 222
  year: 2013
  end-page: 231
  ident: bib145
  publication-title: Penguins Search Optimization Algorithm (PeSOA)
– volume: 172
  year: 2021
  ident: bib207
  article-title: A discrete bat algorithm based on Lévy flights for Euclidean traveling salesman problem
  publication-title: Expert Syst. Appl.
– start-page: 240
  year: 2012
  end-page: 249
  ident: bib193
  article-title: Flower pollination algorithm for global optimization
  publication-title: Unconv. Comput. Nat. Comput., Springer Berlin Heidelberg, Berlin, Heidelberg
– year: 1989
  ident: bib76
  publication-title: Genetic Algorithms in Search, Optimization and Machine Learning
– volume: 22
  start-page: 52
  year: 2002
  end-page: 67
  ident: bib109
  article-title: Biomimicry of bacterial foraging for distributed optimization and control
  publication-title: IEEE Control Syst. Mag.
– volume: 14
  start-page: 1331
  year: 2015
  end-page: 1352
  ident: bib147
  article-title: Prey-predator algorithm: a new metaheuristic algorithm for optimization problems
  publication-title: Int. J. Inf. Technol. Decis. Mak.
– reference: D. Teodorovic, M. Dell’orco, Bee Colony Optimization—A Cooperative Learning Approach to Complex Transportation Problems, in: Proc. 16th Mini-EURO Conf. Adv. OR AI Methods Transp., Poznan, 2005: pp. 51–60.
– volume: 21
  start-page: 155
  year: 2022
  end-page: 171
  ident: bib28
  article-title: Classifying Metaheuristics: towards a unified multi-level classification system
  publication-title: Nat. Comput.
– volume: 28
  start-page: 673
  year: 2016
  end-page: 687
  ident: bib115
  article-title: A new bio-inspired optimisation algorithm: bird swarm algorithm
  publication-title: J. Exp. Theor. Artif. Intell.
– volume: 16
  start-page: 876
  year: 2018
  end-page: 882
  ident: bib195
  article-title: Tree physiology optimization in constrained optimization problem
  publication-title: Telkomnika (Telecommun. Comput. Electron. Control
– reference: A.P. Agrawal, A. Kaur, An empirical evaluation of three popular meta-heuristics for solving Travelling Salesman Problem, in: 2016 6th Int. Conf. - Cloud Syst. Big Data Eng., IEEE, Noida, India, 2016: pp. 16–21.
– start-page: 1
  year: 2016
  end-page: 24
  ident: bib10
  article-title: A literature survey on metaheuristics in production systems
  publication-title: Metaheuristics Prod. Syst., Springer International Publishing, Cham
– reference: R. Purkayastha, T. Chakraborty, A. Saha, D. Mukhopadhyay, Study and analysis of various heuristic algorithms for solving travelling salesman problem—A survey, in: J. Mandal, S. Mukhopadhyay (Eds.), Proc. Glob. AI Congr. 2019. Adv. Intell. Syst. Comput., Springer, Singapore, 2020: pp. 61–70.
– volume: 13
  start-page: 64
  year: 2021
  end-page: 76
  ident: bib14
  article-title: Toward practical algorithms for activity chain optimization
  publication-title: Transp. Lett.
– volume: 10
  year: 2022
  ident: bib58
  article-title: A comprehensive bibliometric analysis of fractional programming
  publication-title: Mathematics
– volume: 11
  start-page: 215
  year: 1981
  end-page: 219
  ident: bib19
  article-title: The design and analysis of heuristics
  publication-title: Networks
– volume: 114
  start-page: 163
  year: 2017
  end-page: 191
  ident: bib149
  article-title: Salp swarm algorithm: a bio-inspired optimizer for engineering design problems
  publication-title: Adv. Eng. Softw.
– volume: 20
  start-page: 195
  year: 2019
  end-page: 204
  ident: bib46
  article-title: An improved augmented -constraint and Branch-and-Cut method to solve the TSP with profits
  publication-title: IEEE Trans. Intell. Transp. Syst.
– year: 2019
  ident: bib184
  article-title: Deer hunting optimization algorithm: a new nature-inspired meta-heuristic paradigm
  publication-title: Comput. J.
– volume: 140
  year: 2020
  ident: bib41
  article-title: A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants
  publication-title: Comput. Ind. Eng.
– reference: S.-C. Chu, P. Tsai, J.-S. Pan, Cat swarm optimization, in: Q. Yang, G. Webb (Eds.), Pacific Rim Int. Conf. Artif. Intell. 2006 Trends Artif. Intell., Springer Berlin Heidelberg, Guilin, China, 2006: pp. 854–858. https://doi.org/10.1007/978–3-540–36668-3_94.
– volume: 104
  start-page: 86
  year: 1993
  end-page: 92
  ident: bib199
  publication-title: N. Optim. Heuristics: Gt. Deluge Algorithm Rec. -to-Rec. Travel, J. Comput. Phys.
– volume: 104
  start-page: 333
  year: 2019
  end-page: 339
  ident: bib57
  article-title: Literature review as a research methodology: an overview and guidelines
  publication-title: J. Bus. Res
– start-page: 217
  year: 2022
  end-page: 226
  ident: bib211
  article-title: Developing arithmetic optimization algorithm for travelling salesman problem
  publication-title: Adv. Intell. Comput. Commun., Springer Nature Singapore, Singapore
– volume: 118
  year: 2022
  ident: bib213
  article-title: Discrete sparrow search algorithm for symmetric traveling salesman problem
  publication-title: Appl. Soft Comput.
– volume: 105
  year: 2021
  ident: bib209
  article-title: DJAYA: a discrete Jaya algorithm for solving traveling salesman problem
  publication-title: Appl. Soft Comput.
– reference: L.N. de Castro, F.J. Von Zuben, The Clonal Selection Algorithm with Engineering Applications, in: Work. Proc. GECCO, Las Vegas, USA, 2000.
– reference: M. Kripka, R.M.L. Kripka, Big crunch optimization method, in: Int. Conf. Eng. Optim., Rio de Janeiro, Brazil, 2008: pp. 1–5.
– start-page: 44
  year: 1995
  end-page: 97
  ident: bib20
  article-title: , An overview of evolutionary algorithms in management applications
  publication-title: Evol. Algorithms Manag. Appl., Springer Berlin Heidelberg, Berlin, Heidelberg
– start-page: 4661
  year: 2007
  end-page: 4667
  ident: bib188
  article-title: Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
  publication-title: : 2007 IEEE Congr. Evol. Comput., IEEE, Singap.
– volume: 158
  year: 2021
  ident: bib103
  article-title: African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems
  publication-title: Comput. Ind. Eng.
– start-page: 65
  year: 2010
  end-page: 74
  ident: bib110
  article-title: A new metaheuristic bat-inspired algorithm
  publication-title: Nat. Inspired Coop. Strateg. Optim. (NICSO 2010), Springer Berlin Heidelberg, Berlin, Heidelberg
– volume: 53
  year: 2021
  ident: bib206
  article-title: Evaluating genetic algorithms through the approximability hierarchy
  publication-title: J. Comput. Sci.
– reference: Elsevier B.V., Scopus A.P.I.: Use cases, 2022.
– volume: 52
  start-page: 51
  year: 2021
  end-page: 58
  ident: bib47
  article-title: An exact approach for a variant of the FS-TSP
  publication-title: Transp. Res. Procedia
– volume: 92
  start-page: 65
  year: 2016
  end-page: 88
  ident: bib157
  article-title: A novel nature-inspired algorithm for optimization: Virus colony search
  publication-title: Adv. Eng. Softw.
– reference: C. Yang, X. Tu, J. Chen, Algorithm of Marriage in Honey Bees Optimization Based on the Wolf Pack Search, in: 2007 Int. Conf. Intell. Pervasive Comput. (IPC 2007), 2007: pp. 462–467. https://doi.org/10.1109/IPC.2007.104.
– reference: H.A. Abbass, MBO: marriage in honey bees optimization-a Haplometrosis polygynous swarming approach, in: Proc. 2001 Congr. Evol. Comput., 2001: pp. 207–214 vol. 1. https://doi.org/10.1109/CEC.2001.934391.
– volume: 37
  start-page: 106
  year: 2006
  end-page: 111
  ident: bib164
  article-title: A new optimization method: big bang–big crunch
  publication-title: Adv. Eng. Softw.
– start-page: 43
  year: 2020
  end-page: 67
  ident: bib40
  article-title: Metaheuristics and swarm methods: a discussion on their performance and applications
  publication-title: N. Adv. Swarm Algorithms Oper. Appl., Springe Int. Publ., Cham
– start-page: 167
  year: 2004
  end-page: 217
  ident: bib100
  article-title: SOMA - self-organizing migrating algorithm
  publication-title: SOMA - Self-Organizing Migrating Algorithm
– volume: 114
  start-page: 48
  year: 2017
  end-page: 70
  ident: bib155
  article-title: Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications
  publication-title: Adv. Eng. Softw.
– start-page: 960
  year: 2013
  end-page: 970
  ident: bib22
  article-title: Metaheuristics
  publication-title: Encycl. Oper. Res. Manag. Sci.
– volume: 55
  start-page: 1
  year: 2015
  end-page: 11
  ident: bib179
  article-title: Water wave optimization: a new nature-inspired metaheuristic
  publication-title: Comput. Oper. Res.
– volume: 83
  start-page: 80
  year: 2015
  end-page: 98
  ident: bib105
  article-title: The ant lion optimizer
  publication-title: Adv. Eng. Softw.
– year: 2023
  ident: bib33
  article-title: An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
  publication-title: Artif. Intell. Rev.
– volume: 45
  start-page: 732
  year: 2009
  end-page: 741
  ident: bib23
  article-title: Classification of applied methods of combinatorial optimization
  publication-title: Cybern. Syst. Anal.
– volume: 89
  start-page: 228
  year: 2015
  end-page: 249
  ident: bib143
  article-title: Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm
  publication-title: Knowl. -Based Syst.
– volume: 55
  start-page: 315
  year: 2021
  end-page: 335
  ident: bib48
  article-title: Exact methods for the traveling salesman problem with drone
  publication-title: Transp. Sci.
– start-page: 635
  year: 2002
  end-page: 653
  ident: bib94
  article-title: Gene expression programming in problem solving
  publication-title: Soft Comput. Ind. Recent Appl.
– volume: 52
  year: 2020
  ident: bib204
  article-title: A novel design of differential evolution for solving discrete traveling salesman problems
  publication-title: Swarm Evol. Comput.
– reference: Y. Luo, O. Dib, J. Zian, H. Bingxu, A new memetic algorithm to solve the stochastic TSP, in: 2021 12th Int. Symp. Parallel Archit. Algorithms Program., IEEE, Xi’an, China, China, 2021: pp. 69–75.
– volume: 35
  start-page: 268
  year: 2003
  end-page: 308
  ident: bib38
  article-title: Metaheuristics in combinatorial optimization: overview and conceptual comparison
  publication-title: ACM Comput. Surv.
– volume: 38
  start-page: 14439
  year: 2011
  end-page: 14450
  ident: bib78
  article-title: Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques
  publication-title: Expert Syst. Appl.
– volume: 2014
  year: 2014
  ident: bib194
  article-title: A plant propagation algorithm for constrained engineering optimisation problems
  publication-title: Math. Probl. Eng.
– volume: 29
  start-page: 4213
  year: 2022
  end-page: 4231
  ident: bib61
  article-title: A bibliometric analysis on optimization solution methods applied to supply chain of solar energy
  publication-title: Arch. Comput. Methods Eng.
– volume: 64
  year: 2021
  ident: bib74
  article-title: A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
  publication-title: Swarm Evol. Comput.
– volume: 7
  start-page: 285
  year: 2000
  end-page: 300
  ident: bib37
  article-title: Classical and modern heuristics for the vehicle routing problem
  publication-title: Int. Trans. Oper. Res.
– volume: 27
  start-page: 1053
  year: 2016
  end-page: 1073
  ident: bib127
  article-title: Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
  publication-title: Neural Comput. Appl.
– reference: M. Adham, P. Bentley, An Artificial Ecosystem Algorithm applied to static and Dynamic Travelling Salesman Problems, in: 2014 IEEE Int. Conf. Evolvable Syst., 2015: pp. 149–156.
– volume: 46
  start-page: 1
  year: 2018
  end-page: 5
  ident: bib62
  article-title: Review articles: purpose, process, and structure
  publication-title: J. Acad. Mark. Sci.
– reference: C. Sur, S. Sharma, A. Shukla, Egyptian Vulture Optimization Algorithm -- A New Nature Inspired Meta-heuristics for Knapsack Problem, in: P. Meesad, H. Unger, S. Boonkrong (Eds.), 9th Int. Conf. Comput. InformationTechnology, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013: pp. 227–237.
– reference: S.-Y. Kuo, C.-H. Wu, C.-C. Chen, Y.-H. Chou, A novel metaheuristic: fast jaguar algorithm, 2021 IEEE Int. Conf. Syst. Man, Cybern. , 2021 146–151.
– volume: 7
  start-page: 196
  year: 2010
  end-page: 217
  ident: bib66
  article-title: Citation Analysis: Comparison of Web of Science®, Scopus™, SciFinder®, and Google Scholar
  publication-title: J. Electron. Resour. Med. Libr
– reference: B. Barzegar, A.M. Rahmani, K. Zamanifar, A. Divsalar, Gravitational Emulation Local Search Algorithm for Advanced Reservation and Scheduling in Grid Computing Systems, in: 2009 Fourth Int. Conf. Comput. Sci. Converg. Inf. Technol., 2009: pp. 1240–1245. https://doi.org/10.1109/ICCIT.2009.319.
– volume: 26
  start-page: 91
  year: 2009
  end-page: 108
  ident: bib56
  article-title: A typology of reviews: an analysis of 14 review types and associated methodologies, Heal
  publication-title: Inf. Libr. J.
– reference: S. Iordache, Consultant-guided search: A new metaheuristic for combinatorial optimization problems, in: Proc. 12th Annu. Conf. Genet. Evol. Comput., Association for Computing Machinery, Portland, Oregon, USA, 2010: pp. 225–232.
– volume: 117
  year: 2023
  ident: bib34
  article-title: A survey of recently developed metaheuristics and their comparative analysis
  publication-title: Eng. Appl. Artif. Intell.
– start-page: 185
  year: 2018
  end-page: 231
  ident: bib29
  article-title: Metaheuristic algorithms: a comprehensive review
  publication-title: Comput. Intell. Multimed. Big Data Cloud with Eng. Appl.
– volume: 107
  year: 2021
  ident: bib82
  article-title: Ant colony optimization for traveling salesman problem based on parameters optimization
  publication-title: Appl. Soft Comput.
– volume: 69
  start-page: 46
  year: 2014
  end-page: 61
  ident: bib136
  article-title: Grey Wolf Optimizer
  publication-title: Adv. Eng. Softw.
– year: 2022
  ident: bib52
  publication-title: Comb. heuristics Exact. Algorithm.: A Rev.
– volume: 11
  year: 2021
  ident: bib43
  article-title: Combinatorial optimization problems and metaheuristics: review, challenges, design, and development
  publication-title: Appl. Sci.
– reference: J.D. McCaffrey, Generation of pairwise test sets using a simulated bee colony algorithm, in: 2009 IEEE Int. Conf. Inf. Reuse Integr., 2009: pp. 115–119.
– volume: 64
  start-page: 564
  year: 2018
  end-page: 580
  ident: bib50
  article-title: A comparative study of improved GA and PSO in solving multiple traveling salesmen problem
  publication-title: Appl. Soft Comput.
– volume: 55
  start-page: 702
  year: 2022
  end-page: 707
  ident: bib212
  article-title: Hermit crab optimizer (HCO): a novel meta-heuristic algorithm
  publication-title: IFAC-Pap.
– start-page: 386
  year: 2013
  end-page: 420
  ident: bib189
  article-title: Soccer game optimization
  publication-title: Meta-Heuristics Optim. Algorithms Eng. Business, Econ. Financ., IGI Global
– volume: 169
  start-page: 1
  year: 2016
  end-page: 12
  ident: bib125
  article-title: A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm
  publication-title: Comput. Struct.
– reference: .
– volume: 36
  start-page: 801
  year: 2020
  end-page: 814
  ident: bib60
  article-title: Bibliometric analysis of affective computing researches during 1999–2018
  publication-title: Int. J. Hum. Inter.
– volume: 47
  start-page: 417
  year: 2017
  end-page: 462
  ident: bib26
  article-title: Plant intelligence based metaheuristic optimization algorithms
  publication-title: Artif. Intell. Rev.
– reference: S. Boettcher, A.G. Percus, Extremal Optimization: Methods Derived from Co-Evolution, in: Proc. 1st Annu. Conf. Genet. Evol. Comput. - Vol. 1. GECCO’99, Orlando, FL, USA, 1999: pp. 825–832. https://doi.org/10.48550/arXiv.math/9904056.
– volume: 76
  start-page: 60
  year: 2001
  end-page: 68
  ident: bib172
  article-title: A new heuristic optimization algorithm: Harmony Search
  publication-title: Simulation
– volume: 3
  year: 2017
  ident: bib118
  article-title: Camel herds algorithm: a new swarm intelligent algorithm to solve optimization problems
  publication-title: Int. J. Perceptive Cogn. Comput.
– volume: 137
  year: 2019
  ident: bib3
  article-title: A survey on new generation metaheuristic algorithms
  publication-title: Comput. Ind. Eng.
– volume: 8
  start-page: 239
  year: 2009
  end-page: 287
  ident: bib39
  article-title: A survey on metaheuristics for stochastic combinatorial optimization
  publication-title: Nat. Comput.
– start-page: 305
  year: 2010
  end-page: 318
  ident: bib116
  article-title: A bumble bees mating optimization algorithm for global unconstrained optimization problems
  publication-title: Nat. Inspired Coop. Strateg. Optim. (NICSO 2010), Springer Berlin Heidelberg, Berlin, Heidelberg
– volume: 1
  start-page: 69
  year: 2021
  end-page: 75
  ident: bib51
  article-title: Performance analysis of optimization methods for solving traveling salesman problem
  publication-title: Innov. Technol. Sci. Solut. Ind.
– volume: 46
  start-page: 582
  year: 2016
  end-page: 594
  ident: bib83
  article-title: Multiobjective vehicle routing problems with simultaneous delivery and pickup and time windows: formulation, instances, and algorithms
  publication-title: IEEE Trans. Cyber
– volume: 3
  start-page: 124
  year: 1999
  end-page: 141
  ident: bib71
  article-title: Parameter control in evolutionary algorithms
  publication-title: IEEE Trans. Evol. Comput.
– reference: R.G. Reynolds, An introduction to cultural algorithms, in: A. V. Sebald, L.J. Fogel (Eds.), Proc. Third Annu. Conf. Evol. Program., World Scientific Publishing Co. Pte. Ltd., San Diego, California, USA, 1994: pp. 131–139. https://doi.org/10.1142/9789814534116.
– volume: 29
  start-page: 195
  year: 2022
  end-page: 221
  ident: bib44
  article-title: Review of vehicle routing problems: models, classification and solving algorithms
  publication-title: Arch. Comput. Methods Eng.
– volume: 1
  start-page: 355
  year: 2006
  end-page: 366
  ident: bib96
  article-title: A novel numerical optimization algorithm inspired from weed colonization
  publication-title: Ecol. Inform.
– reference: A. Karci, A new meta-heuristic algorithm based on chemical process: Atom algorithm., in: Proc. 1st Int. Eurasian Conf. Math. Sci. Appl., Prishtine, Kosova, 2012: pp. 85–86.
– volume: 105
  start-page: 1809
  year: 2015
  end-page: 1831
  ident: bib63
  article-title: The bibliometric analysis of scholarly production: How great is the impact
  publication-title: Scientometrics
– volume: 11
  start-page: 341
  year: 1997
  end-page: 359
  ident: bib91
  publication-title: Differ. Evol. – A Simple Effic. heuristic Glob. Optim. Contin. Spaces, J. Glob. Optim.
– volume: 27
  start-page: 1850035
  year: 2018
  ident: bib181
  article-title: Competitive learning: a new meta-heuristic optimization algorithm
  publication-title: Int. J. Artif. Intell. Tools
– volume: 25
  start-page: 125
  year: 2018
  end-page: 142
  ident: bib13
  article-title: Extensions of the activity chain optimization method
  publication-title: J. Urban Technol.
– volume: 54
  start-page: 4237
  year: 2021
  end-page: 4316
  ident: bib2
  article-title: Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
  publication-title: Artif. Intell. Rev.
– start-page: 169
  year: 2009
  end-page: 178
  ident: bib131
  article-title: Firefly algorithms for multimodal optimization
  publication-title: Stoch. Algorithms Found. Appl.
– start-page: 2403
  year: 2009
  end-page: 2410
  ident: bib86
  article-title: A bacterial evolutionary algorithm for automatic data clustering
  publication-title: : 2009 IEEE Congr. Evol. Comput., IEEE, Trondheim, Nor.
– reference: G.-G. Wang, S. Deb, L. dos S. Coelho, Elephant Herding Optimization, in: 2015 3rd Int. Symp. Comput. Bus. Intell., IEEE, Bali, Indonesia, 2015: pp. 1–5. https://doi.org/10.1109/ISCBI.2015.8.
– volume: 48
  start-page: 93
  year: 2019
  end-page: 108
  ident: bib163
  article-title: AEFA: Artificial electric field algorithm for global optimization
  publication-title: Swarm Evol. Comput.
– volume: 44
  start-page: 148
  year: 2019
  end-page: 175
  ident: bib156
  article-title: A novel nature-inspired algorithm for optimization: Squirrel search algorithm
  publication-title: Swarm Evol. Comput.
– reference: S. Deb, S. Fong, Z. Tian, Elephant Search Algorithm for optimization problems, in: 2015 Tenth Int. Conf. Digit. Inf. Manag., IEEE, Jeju,South Korea, 2015: pp. 249–255. https://doi.org/10.1109/ICDIM.2015.7381893.
– reference: X. Li, A new intelligent optimization-artificial fish swarm algorithm, Zhejiang University of Zhejiang, 2003.
– volume: 10
  start-page: 475
  year: 2022
  ident: bib45
  article-title: A self-parametrization framework for meta-heuristics
  publication-title: Mathematics
– volume: 12
  start-page: 702
  year: 2008
  end-page: 713
  ident: bib88
  article-title: Biogeography-based optimization
  publication-title: IEEE Trans. Evol. Comput.
– volume: 42
  start-page: 254
  year: 2012
  end-page: 267
  ident: bib84
  article-title: Optimizing the vehicle routing problem with time windows: a discrete particle swarm optimization approach
  publication-title: IEEE Trans. Syst. Man Cybern. Part C. Appl. Rev.
– reference: A. Mucherino, O. Seref, Monkey search: a novel metaheuristic search for global optimization, AIP Conf. Proc. 953 (2007) 162–173. https://doi.org/10.1063/1.2817338.
– volume: 51
  start-page: 369
  year: 2019
  end-page: 389
  ident: bib114
  article-title: Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets
  publication-title: Eng. Optim.
– volume: 26
  start-page: 69
  year: 2012
  end-page: 74
  ident: bib134
  article-title: A new Fruit Fly Optimization Algorithm: taking the financial distress model as an example
  publication-title: Knowl. -Based Syst.
– start-page: 383
  year: 2011
  end-page: 388
  ident: bib169
  article-title: Otsu’s criterion-based multilevel thresholding by a nature-inspired metaheuristic called Galaxy-based Search Algorithm, in: 2011
  publication-title: Third World Congr. Nat. Biol. Inspired Comput., IEEE, Salamanca, Spain
– volume: 7
  year: 2021
  ident: bib70
  article-title: Performance assessment of metaheuristic algorithms for structural optimization taking into account the influence of algorithmic control parameters
  publication-title: Front. Built Environ.
– volume: 34
  start-page: 22465
  year: 2022
  end-page: 22492
  ident: bib90
  article-title: COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle
  publication-title: Neural Comput. Appl.
– start-page: 671
  year: 1983
  end-page: 680
  ident: bib175
  article-title: Optimization by simulated annealing
  publication-title: Sci. (80-. ). 220 (
– start-page: 791
  year: 2018
  end-page: 808
  ident: bib5
  article-title: A history of metaheuristics
  publication-title: Handb. Heuristics, Springer International Publishing, Cham
– volume: 35
  start-page: 254
  year: 1987
  end-page: 265
  ident: bib35
  article-title: Algorithms for the vehicle routing and scheduling problems with time window constraints
  publication-title: Oper. Res.
– volume: 76
  start-page: 534
  year: 2015
  end-page: 538
  ident: bib49
  article-title: Ant colony hyper-heuristics for travelling salesman problem
  publication-title: Procedia Comput. Sci.
– volume: 76
  start-page: 443
  year: 2015
  end-page: 448
  ident: bib102
  article-title: African buffalo optimization: a swarm-intelligence technique
  publication-title: Procedia Comput. Sci.
– volume: 7
  start-page: 19
  year: 2016
  end-page: 34
  ident: bib200
  article-title: Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems
  publication-title: Int. J. Ind. Eng. Comput.
– reference: N.J. van Eck, L. Waltman, Visualizing Bibliometric Networks, in: Y. Ding, R. Rousseau, D. Wolfram (Eds.), Meas. Sch. Impact Methods Pract., Springer International Publishing, Cham, 2014: pp. 285–320. https://doi.org/10.1007/978–3-319–10377-8_13.
– reference: (accessed November 1, 2022).
– volume: 1
  start-page: 53
  year: 1997
  end-page: 66
  ident: bib77
  article-title: Ant colony system: a cooperative learning approach to the traveling salesman problem
  publication-title: IEEE Trans. Evol. Comput.
– volume: 14
  start-page: 483
  year: 2011
  end-page: 500
  ident: bib177
  article-title: A water-flow algorithm for flexible flow shop scheduling with intermediate buffers
  publication-title: J. Sched.
– volume: 2021
  start-page: 6668345
  year: 2021
  ident: bib8
  article-title: Solving the traveling salesman problem: a modified metaheuristic algorithm
  publication-title: Complexity
– volume: 31
  year: 2020
  ident: bib32
  article-title: A comprehensive database of Nature-Inspired Algorithms
  publication-title: V2, Data Br.
– volume: 59
  start-page: 231
  year: 1992
  end-page: 247
  ident: bib7
  article-title: The traveling salesman problem: an overview of exact and approximate algorithms
  publication-title: Eur. J. Oper. Res
– reference: E. Osaba, X.-S. Yang, J. Del Ser, Traveling salesman problem: A perspective review of recent research and new results with bio-inspired metaheuristics, in: X.-S. Yang (Ed.), Nature-Inspired Comput. Swarm Intell., Elsevier, London, United Kingdom, 2020: pp. 135–164. https://doi.org/10.1016/B978–0-12–819714-1.00020–8.
– reference: X.L. Li, Z.J. SHAO, J.X. QIAN, An Optimizing Method Based on Autonomous Animats: Fish-swarm Algorithm, Syst. Eng. - Theory Pract. (2002).
– volume: 6
  start-page: 31
  year: 2014
  end-page: 47
  ident: bib154
  article-title: Spider monkey optimization algorithm for numerical optimization
  publication-title: Memetic Comput.
– volume: 17
  start-page: 71
  year: 2017
  end-page: 78
  ident: bib198
  article-title: Golden sine algorithm: a novel math-inspired algorithm
  publication-title: Adv. Electr. Comput. Eng.
– volume: 24
  start-page: 1867
  year: 2014
  end-page: 1877
  ident: bib104
  article-title: Animal migration optimization: an optimization algorithm inspired by animal migration behavior
  publication-title: Neural Comput. Appl.
– start-page: 29
  year: 2022
  end-page: 37
  ident: bib53
  article-title: Comparison of discrete memetic evolutionary metaheuristics for TSP
  publication-title: Comput. Intell. Math. Tackling Complex Probl. 2, Springer International Publishing, Cham
– volume: 1
  start-page: 93
  year: 2009
  end-page: 119
  ident: bib135
  article-title: Glowworm swarm optimisation: a new method for optimising multi-modal functions
  publication-title: Int. J. Comput. Intell. Stud.
– volume: 33
  start-page: 5011
  year: 2021
  end-page: 5042
  ident: bib182
  article-title: Coronavirus herd immunity optimizer (CHIO
  publication-title: Neural Comput. Appl.
– volume: 111
  start-page: 151
  year: 2012
  end-page: 166
  ident: bib176
  article-title: Water cycle algorithm – a novel metaheuristic optimization method for solving constrained engineering optimization problems
  publication-title: Comput. Struct. 110–
– reference: Elsevier B.V., Scopus Search A.P.I., 2022.
– volume: 52
  start-page: 2191
  year: 2019
  end-page: 2233
  ident: bib4
  article-title: Metaheuristic research: a comprehensive survey
  publication-title: Artif. Intell. Rev.
– volume: 11
  start-page: 253
  year: 1966
  end-page: 272
  ident: bib92
  article-title: Intelligent decision making through a simulation of evolution
  publication-title: Behav. Sci.
– start-page: 1
  year: 2018
  end-page: 8
  ident: bib124
  article-title: Coyote optimization algorithm: a new metaheuristic for global optimization problems
  publication-title: IEEE Congr. Evol. Comput.
– volume: 3
  start-page: 358
  year: 2011
  end-page: 369
  ident: bib159
  article-title: Wisdom of artificial crowds algorithm for solving NP-hard problems
  publication-title: Int. J. Bio-Inspired Comput.
– volume: 1
  start-page: 71
  year: 2009
  end-page: 79
  ident: bib173
  article-title: The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
  publication-title: Int. J. Bio-Inspired Comput.
– volume: 24
  start-page: 1097
  year: 1997
  end-page: 1100
  ident: bib192
  article-title: Variable neighborhood search
  publication-title: Comput. Oper. Res.
– volume: 30
  start-page: 614
  year: 2015
  end-page: 627
  ident: bib153
  article-title: A social spider algorithm for global optimization
  publication-title: Appl. Soft Comput.
– volume: 24
  start-page: 475
  year: 2007
  end-page: 488
  ident: bib178
  article-title: Water flow-like algorithm for object grouping problems
  publication-title: J. Chin. Inst. Ind. Eng.
– volume: 70
  start-page: 124
  year: 2014
  end-page: 133
  ident: bib81
  article-title: The hybrid genetic algorithm with two local optimization strategies for traveling salesman problem
  publication-title: Comput. Ind. Eng.
– start-page: 210
  year: 2009
  end-page: 214
  ident: bib126
  article-title: Cuckoo search via Lévy flights
  publication-title: World Congr. Nat. Biol. Inspired Comput., IEEE, Coimbatore, India
– volume: 41
  start-page: 145
  year: 2014
  end-page: 166
  ident: bib186
  article-title: Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts
  publication-title: Appl. Intell.
– reference: E. Duman, M. Uysal, A.F. Alkaya, Migrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic Assignment Problem, in: C. Di Chio, S. Cagnoni, C. Cotta, M. Ebner, A. Ekárt, A.I. Esparcia-Alcázar, J.J. Merelo, F. Neri, M. Preuss, H. Richter, J. Togelius, G.N. Yannakakis (Eds.), Appl. Evol. Comput., Springer Berlin Heidelberg, Berlin, Heidelberg, 2011: pp. 254–263. https://doi.org/10.1007/978–3-642–20525-5_26.
– start-page: 71
  year: 2022
  end-page: 99
  ident: bib205
  article-title: - Impacts of metaheuristic and swarm intelligence approach in optimization
  publication-title: Cogn. Big Data Intell. with a Metaheuristic Approach
– volume: 28
  start-page: 60448
  year: 2021
  end-page: 60458
  ident: bib55
  article-title: Four challenges when conducting bibliometric reviews and how to deal with them
  publication-title: Environ. Sci. Pollut. Res.
– volume: 129
  start-page: 210
  year: 2003
  end-page: 225
  ident: bib101
  article-title: Optimization of water distribution network design using the shuffled frog leaping algorithm
  publication-title: J. Water Resour. Plan. Manag
– reference: S. Rbihou, K. Haddouch, Comparative study between a neural network, approach metaheuristic and exact method for solving Traveling salesman Problem, in: 2021 Fifth Int. Conf. Intell. Comput. Data Sci., IEEE, 2021: pp. 1–5. https://doi.org/10.1109/ICDS53782.2021.9626724.
– volume: 10
  start-page: 25073
  year: 2022
  end-page: 25105
  ident: bib203
  article-title: War strategy optimization algorithm: a new effective metaheuristic algorithm for global optimization
  publication-title: IEEE Access
– volume: 49
  start-page: 188
  year: 2019
  end-page: 205
  ident: bib120
  article-title: Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection
  publication-title: Appl. Intell.
– start-page: 355
  year: 2010
  end-page: 364
  ident: bib132
  publication-title: Fireworks Algorithm for Optimization
– volume: 54
  start-page: 62
  year: 2016
  end-page: 79
  ident: bib202
  article-title: Yin-yang-pair optimization: a novel lightweight optimization algorithm
  publication-title: Eng. Appl. Artif. Intell.
– volume: 32
  start-page: 284
  year: 2016
  end-page: 322
  ident: bib168
  article-title: Crystal energy optimization algorithm
  publication-title: Comput. Intell.
– volume: 31
  start-page: 1995
  year: 2015
  end-page: 2014
  ident: bib141
  article-title: Monarch butterfly optimization
  publication-title: Neural Comput. Appl.
– volume: 13
  start-page: 533
  year: 1986
  end-page: 549
  ident: bib190
  article-title: Future paths for integer programming and links to artificial intelligence
  publication-title: Comput. Oper. Res.
– volume: 8
  start-page: 156
  year: 1977
  end-page: 166
  ident: bib99
  article-title: Heuristics for integer programming using surrogate constraints
  publication-title: Decis. Sci.
– volume: 53
  start-page: 753
  year: 2019
  end-page: 810
  ident: bib1
  article-title: From ants to whales: metaheuristics for all tastes
  publication-title: Artif. Intell. Rev.
– reference: M. Birattari, L. Paquete, T. Stützle, K. Varrentrapp, Classification of Metaheuristics and Design of Experiments for the Analysis of Components, 2001.
– volume: 179
  start-page: 2232
  year: 2009
  end-page: 2248
  ident: bib171
  article-title: GSA: a gravitational search algorithm
  publication-title: Inf. Sci. (Ny. )
– reference: C. ZhaoHui, T. HaiYan, Cockroach Swarm Optimization, Proc. 2nd Int. Conf. Comput. Eng. Technol. (ICCET ’10). 6 (2010).
– start-page: 163
  year: 2007
  end-page: 177
  ident: bib174
  article-title: Using river formation dynamics to design heuristic algorithms
  publication-title: Unconv. Comput. UC 2007. Lect.
– start-page: 454
  year: 2006
  end-page: 459
  ident: bib113
  article-title: - The bees algorithm — a novel tool for complex optimisation problems
  publication-title: Intell. Prod. Mach. Syst.
– reference: J.-P. Arnaout, Worm optimization: a novel optimization algorithm inspired by C. Elegans, in: Proc. 2014 Int. Conf. Ind. Eng. Oper. Manag. Indones., 2014: pp. 2499–2505.
– volume: 80
  start-page: 116
  year: 2013
  end-page: 122
  ident: bib24
  article-title: A brief review of nature-inspired algorithms for optimization
  publication-title: Elektro Vestn. /Electrotech. Rev.
– volume: 39
  start-page: 459
  year: 2007
  end-page: 471
  ident: bib106
  article-title: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
  publication-title: J. Glob. Optim.
– volume: 95
  start-page: 51
  year: 2016
  end-page: 67
  ident: bib158
  article-title: The whale optimization algorithm
  publication-title: Adv. Eng. Softw.
– volume: 80
  start-page: 20
  year: 2019
  end-page: 34
  ident: bib148
  article-title: The sailfish optimizer: a novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems
  publication-title: Eng. Appl. Artif. Intell.
– volume: 222
  start-page: 175
  year: 2013
  end-page: 184
  ident: bib166
  article-title: Black hole: A new heuristic optimization approach for data clustering
  publication-title: , Inf. Sci. (Ny. )
– year: 1975
  ident: bib75
  article-title: Adaption in natural and artificial systems: an introductory analysis with application to Biology
  publication-title: Control and Artificial Intelligence
– start-page: 1272
  year: 2006
  end-page: 1278
  ident: bib137
  article-title: A novel group search optimizer inspired by animal behavioural ecology
  publication-title: : 2006 IEEE Int. Conf. Evol. Comput., IEEE, Vanc., BC, Can.
– start-page: 86
  year: 2014
  end-page: 94
  ident: bib121
  publication-title: A New Bio-inspired Algorithm: Chicken Swarm Optimization
– volume: 229
  start-page: 58
  year: 2013
  end-page: 76
  ident: bib107
  article-title: Artificial cooperative search algorithm for numerical optimization problems
  publication-title: Inf. Sci. (Ny. )
– reference: K.R. Harrison, B.M. Ombuki-Berman, A.P. Engelbrecht, An analysis of control parameter importance in the particle swarm optimization algorithm, in: Y. Tan, Y. Shi, B. Niu (Eds.), Adv. Swarm Intell., Springer International Publishing, Chiang Mai, Thailand, 2019: pp. 93–105. https://doi.org/10.1007/978–3-030–26369-0_9.
– volume: 12
  year: 2020
  ident: bib6
  article-title: Trip chaining model with classification and optimization parameters
  publication-title: Sustainability
– volume: 123
  year: 2020
  ident: bib12
  article-title: Parallel implementation of metaheuristics for optimizing tool path computation on CNC machining
  publication-title: Comput. Ind.
– volume: 26
  start-page: 29
  year: 1996
  end-page: 41
  ident: bib80
  article-title: Ant system: optimization by a colony of cooperating agents
  publication-title: IEEE Trans. Syst. Man, Cybern. Part B
– year: 2023
  ident: bib9
  article-title: Automated system for freight transportation optimization on the transport network
  publication-title: Period. Polytech. Transp. Eng.
– volume: 42
  start-page: 6686
  year: 2015
  end-page: 6698
  ident: bib196
  article-title: TSA: Tree-seed algorithm for continuous optimization
  publication-title: Expert Syst. Appl.
– volume: 71
  start-page: 728
  year: 2018
  end-page: 746
  ident: bib185
  article-title: Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems
  publication-title: Appl. Soft Comput.
– start-page: 51
  year: 2020
  end-page: 59
  ident: bib27
  article-title: Comparative assessment of light-based intelligent search and optimization algorithms
  publication-title: Light Eng.
– volume: 169
  year: 2022
  ident: bib67
  article-title: Bibliometric analysis of nature inspired optimization techniques
  publication-title: Comput. Ind. Eng.
– volume: 23
  start-page: 715
  year: 2019
  end-page: 734
  ident: bib117
  article-title: Butterfly optimization algorithm: a novel approach for global optimization
  publication-title: Soft Comput.
– start-page: 303
  year: 2011
  end-page: 309
  ident: bib180
  publication-title: Brain Storm Optimization Algorithm
– reference: P. Moscato, On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts: Towards Memetic Algorithms, 1989.
– volume: 152
  year: 2020
  ident: bib139
  article-title: Marine predators algorithm: a nature-inspired metaheuristic
  publication-title: Expert Syst. Appl.
– volume: 60
  start-page: 1
  year: 2017
  end-page: 15
  ident: bib150
  article-title: Satin bowerbird optimizer: a new optimization algorithm to optimize ANFIS for software development effort estimation
  publication-title: Eng. Appl. Artif. Intell.
– volume: 45
  start-page: 175
  year: 2020
  end-page: 194
  ident: bib59
  article-title: Conducting systematic literature reviews and bibliometric analyses
  publication-title: Aust. J. Manag
– volume: 12
  start-page: 897
  year: 2020
  end-page: 939
  ident: bib31
  article-title: Comprehensive taxonomies of nature- and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
  publication-title: Cogn. Comput.
– volume: 376
  year: 2021
  ident: bib197
  article-title: The arithmetic optimization algorithm
  publication-title: Comput. Methods Appl. Mech. Eng.
– volume: 148
  year: 2020
  ident: bib187
  article-title: Group teaching optimization algorithm: a novel metaheuristic method for solving global optimization problems
  publication-title: Expert Syst. Appl.
– volume: 543
  start-page: 2323
  year: 2021
  end-page: 2409
  ident: bib15
  article-title: Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
  publication-title: Artif. Intell. Rev.
– reference: Z. Wu, A comparative study of solving Traveling Salesman Problem with genetic algorithm, ant colony algorithm, and particle swarm optimization, in: 2020 2nd Int. Conf. Robot. Syst. Veh. Technol., Association for Computing Machinery, New York, USA, 2020: pp. 95–99.
– reference: J. Xu, J. Zhang, Exploration-exploitation tradeoffs in metaheuristics: Survey and analysis, in: Proc. 33rd Chinese Control Conf., 2014: pp. 8633–8638. https://doi.org/10.1109/ChiCC.2014.6896450.
– reference: X. Zhang, K. Jiang, H. Wang, W. Li, B. Sun, An Improved Bean Optimization Algorithm for Solving TSP, in: Y. Tan, Y. Shi, Z. Ji (Eds.), Adv. Swarm Intell., Springer Berlin Heidelberg, Berlin, Heidelberg, 2012: pp. 261–267. https://doi.org/10.1007/978–3-642–30976-2_31.
– reference: J.R. Koza, Genetically breeding populations of computer programs to solve problems in artificial intelligence, in: [1990] Proc. 2nd Int. IEEE Conf. Tools Artif. Intell., 1990: pp. 819–827.
– volume: 23
  start-page: 879
  year: 2020
  end-page: 890
  ident: bib208
  article-title: A discrete tree-seed algorithm for solving symmetric traveling salesman problem
  publication-title: Eng. Sci. Technol. Int. J.
– volume: 8
  start-page: 239
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib39
  article-title: A survey on metaheuristics for stochastic combinatorial optimization
  publication-title: Nat. Comput.
  doi: 10.1007/s11047-008-9098-4
– volume: 10
  start-page: 25073
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib203
  article-title: War strategy optimization algorithm: a new effective metaheuristic algorithm for global optimization
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2022.3153493
– volume: 133
  start-page: 285
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib64
  article-title: How to conduct a bibliometric analysis: an overview and guidelines
  publication-title: J. Bus. Res
  doi: 10.1016/j.jbusres.2021.04.070
– volume: 12
  start-page: 897
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib31
  article-title: Comprehensive taxonomies of nature- and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
  publication-title: Cogn. Comput.
  doi: 10.1007/s12559-020-09730-8
– volume: 28
  start-page: 60448
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib55
  article-title: Four challenges when conducting bibliometric reviews and how to deal with them
  publication-title: Environ. Sci. Pollut. Res.
  doi: 10.1007/s11356-021-16420-x
– start-page: 791
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib5
  article-title: A history of metaheuristics
– volume: 129
  start-page: 210
  year: 2003
  ident: 10.1016/j.asoc.2023.110908_bib101
  article-title: Optimization of water distribution network design using the shuffled frog leaping algorithm
  publication-title: J. Water Resour. Plan. Manag
  doi: 10.1061/(ASCE)0733-9496(2003)129:3(210)
– volume: 13
  start-page: 64
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib14
  article-title: Toward practical algorithms for activity chain optimization
  publication-title: Transp. Lett.
  doi: 10.1080/19427867.2019.1702250
– volume: 52
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib204
  article-title: A novel design of differential evolution for solving discrete traveling salesman problems
  publication-title: Swarm Evol. Comput.
  doi: 10.1016/j.swevo.2019.100607
– volume: 172
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib207
  article-title: A discrete bat algorithm based on Lévy flights for Euclidean traveling salesman problem
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2021.114639
– volume: 46
  start-page: 582
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib83
  article-title: Multiobjective vehicle routing problems with simultaneous delivery and pickup and time windows: formulation, instances, and algorithms
  publication-title: IEEE Trans. Cyber
  doi: 10.1109/TCYB.2015.2409837
– volume: 54
  start-page: 62
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib202
  article-title: Yin-yang-pair optimization: a novel lightweight optimization algorithm
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2016.04.004
– volume: 92
  start-page: 65
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib157
  article-title: A novel nature-inspired algorithm for optimization: Virus colony search
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2015.11.004
– ident: 10.1016/j.asoc.2023.110908_bib85
  doi: 10.1109/ICES.2014.7008734
– volume: 105
  start-page: 1809
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib63
  article-title: The bibliometric analysis of scholarly production: How great is the impact
  publication-title: Scientometrics
  doi: 10.1007/s11192-015-1645-z
– volume: 42
  start-page: 6686
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib196
  article-title: TSA: Tree-seed algorithm for continuous optimization
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2015.04.055
– volume: 42
  start-page: 254
  year: 2012
  ident: 10.1016/j.asoc.2023.110908_bib84
  article-title: Optimizing the vehicle routing problem with time windows: a discrete particle swarm optimization approach
  publication-title: IEEE Trans. Syst. Man Cybern. Part C. Appl. Rev.
  doi: 10.1109/TSMCC.2011.2148712
– volume: 3
  year: 2017
  ident: 10.1016/j.asoc.2023.110908_bib118
  article-title: Camel herds algorithm: a new swarm intelligent algorithm to solve optimization problems
  publication-title: Int. J. Perceptive Cogn. Comput.
– volume: 31
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib32
  article-title: A comprehensive database of Nature-Inspired Algorithms
  publication-title: V2, Data Br.
– volume: 48
  start-page: 93
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib163
  article-title: AEFA: Artificial electric field algorithm for global optimization
  publication-title: Swarm Evol. Comput.
  doi: 10.1016/j.swevo.2019.03.013
– start-page: 671
  year: 1983
  ident: 10.1016/j.asoc.2023.110908_bib175
  article-title: Optimization by simulated annealing
  publication-title: Sci. (80-. ). 220 (
  doi: 10.1126/science.220.4598.671
– ident: 10.1016/j.asoc.2023.110908_bib21
– volume: 34
  start-page: 22465
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib90
  article-title: COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-022-07639-x
– volume: 76
  start-page: 60
  year: 2001
  ident: 10.1016/j.asoc.2023.110908_bib172
  article-title: A new heuristic optimization algorithm: Harmony Search
  publication-title: Simulation
  doi: 10.1177/003754970107600201
– start-page: 1272
  year: 2006
  ident: 10.1016/j.asoc.2023.110908_bib137
  article-title: A novel group search optimizer inspired by animal behavioural ecology
  publication-title: : 2006 IEEE Int. Conf. Evol. Comput., IEEE, Vanc., BC, Can.
  doi: 10.1109/CEC.2006.1688455
– volume: 9
  year: 2017
  ident: 10.1016/j.asoc.2023.110908_bib25
  article-title: Glossary of metaheuristic algorithms
  publication-title: Int. J. Comput. Inf. Syst. Ind. Manag. Appl.
– start-page: 169
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib131
  article-title: Firefly algorithms for multimodal optimization
– volume: 3
  start-page: 358
  year: 2011
  ident: 10.1016/j.asoc.2023.110908_bib159
  article-title: Wisdom of artificial crowds algorithm for solving NP-hard problems
  publication-title: Int. J. Bio-Inspired Comput.
  doi: 10.1504/IJBIC.2011.043624
– ident: 10.1016/j.asoc.2023.110908_bib140
  doi: 10.1007/978-3-642-20525-5_26
– volume: 54
  start-page: 4237
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib2
  article-title: Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-020-09952-0
– volume: 137
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib3
  article-title: A survey on new generation metaheuristic algorithms
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2019.106040
– volume: 11
  start-page: 341
  year: 1997
  ident: 10.1016/j.asoc.2023.110908_bib91
  publication-title: Differ. Evol. – A Simple Effic. heuristic Glob. Optim. Contin. Spaces, J. Glob. Optim.
– ident: 10.1016/j.asoc.2023.110908_bib119
  doi: 10.1007/11801603_94
– volume: 44
  start-page: 148
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib156
  article-title: A novel nature-inspired algorithm for optimization: Squirrel search algorithm
  publication-title: Swarm Evol. Comput.
  doi: 10.1016/j.swevo.2018.02.013
– volume: 64
  start-page: 564
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib50
  article-title: A comparative study of improved GA and PSO in solving multiple traveling salesmen problem
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2017.12.031
– ident: 10.1016/j.asoc.2023.110908_bib68
– volume: 47
  start-page: 181
  year: 2004
  ident: 10.1016/j.asoc.2023.110908_bib79
  article-title: Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2004.06.006
– volume: 55
  start-page: 1
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib179
  article-title: Water wave optimization: a new nature-inspired metaheuristic
  publication-title: Comput. Oper. Res.
  doi: 10.1016/j.cor.2014.10.008
– start-page: 355
  year: 2010
  ident: 10.1016/j.asoc.2023.110908_bib132
– volume: 13
  start-page: 533
  year: 1986
  ident: 10.1016/j.asoc.2023.110908_bib190
  article-title: Future paths for integer programming and links to artificial intelligence
  publication-title: Comput. Oper. Res.
  doi: 10.1016/0305-0548(86)90048-1
– volume: 26
  start-page: 69
  year: 2012
  ident: 10.1016/j.asoc.2023.110908_bib134
  article-title: A new Fruit Fly Optimization Algorithm: taking the financial distress model as an example
  publication-title: Knowl. -Based Syst.
  doi: 10.1016/j.knosys.2011.07.001
– volume: 53
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib206
  article-title: Evaluating genetic algorithms through the approximability hierarchy
  publication-title: J. Comput. Sci.
  doi: 10.1016/j.jocs.2021.101388
– year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib52
  publication-title: Comb. heuristics Exact. Algorithm.: A Rev.
– ident: 10.1016/j.asoc.2023.110908_bib129
  doi: 10.1109/ISCBI.2015.8
– volume: 33
  start-page: 5011
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib182
  article-title: Coronavirus herd immunity optimizer (CHIO
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-020-05296-6
– volume: 38
  start-page: 14439
  year: 2011
  ident: 10.1016/j.asoc.2023.110908_bib78
  article-title: Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2011.04.163
– volume: 71
  start-page: 728
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib185
  article-title: Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2018.07.033
– ident: 10.1016/j.asoc.2023.110908_bib138
  doi: 10.1109/ICSCCW.2009.5379451
– volume: 22
  start-page: 52
  year: 2002
  ident: 10.1016/j.asoc.2023.110908_bib109
  article-title: Biomimicry of bacterial foraging for distributed optimization and control
  publication-title: IEEE Control Syst. Mag.
  doi: 10.1109/MCS.2002.1004010
– start-page: 217
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib211
  article-title: Developing arithmetic optimization algorithm for travelling salesman problem
– volume: 80
  start-page: 20
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib148
  article-title: The sailfish optimizer: a novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2019.01.001
– volume: 27
  start-page: 1053
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib127
  article-title: Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-015-1920-1
– volume: 105
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib209
  article-title: DJAYA: a discrete Jaya algorithm for solving traveling salesman problem
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2021.107275
– volume: 89
  start-page: 228
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib143
  article-title: Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm
  publication-title: Knowl. -Based Syst.
  doi: 10.1016/j.knosys.2015.07.006
– ident: 10.1016/j.asoc.2023.110908_bib123
  doi: 10.1145/1830483.1830526
– volume: 21
  start-page: 155
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib28
  article-title: Classifying Metaheuristics: towards a unified multi-level classification system
  publication-title: Nat. Comput.
  doi: 10.1007/s11047-020-09824-0
– start-page: 1
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib10
  article-title: A literature survey on metaheuristics in production systems
– volume: 76
  start-page: 534
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib49
  article-title: Ant colony hyper-heuristics for travelling salesman problem
  publication-title: Procedia Comput. Sci.
  doi: 10.1016/j.procs.2015.12.333
– volume: 11
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib43
  article-title: Combinatorial optimization problems and metaheuristics: review, challenges, design, and development
  publication-title: Appl. Sci.
  doi: 10.3390/app11146449
– volume: 49
  start-page: 188
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib120
  article-title: Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection
  publication-title: Appl. Intell.
  doi: 10.1007/s10489-018-1261-8
– volume: 37
  start-page: 106
  year: 2006
  ident: 10.1016/j.asoc.2023.110908_bib164
  article-title: A new optimization method: big bang–big crunch
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2005.04.005
– ident: 10.1016/j.asoc.2023.110908_bib151
  doi: 10.1109/IRI.2009.5211598
– ident: 10.1016/j.asoc.2023.110908_bib183
  doi: 10.1142/9789814534116
– ident: 10.1016/j.asoc.2023.110908_bib73
  doi: 10.1007/978-3-030-26369-0_9
– volume: 26
  start-page: 29
  year: 1996
  ident: 10.1016/j.asoc.2023.110908_bib80
  article-title: Ant system: optimization by a colony of cooperating agents
  publication-title: IEEE Trans. Syst. Man, Cybern. Part B
  doi: 10.1109/3477.484436
– ident: 10.1016/j.asoc.2023.110908_bib165
– volume: 12
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib6
  article-title: Trip chaining model with classification and optimization parameters
  publication-title: Sustainability
  doi: 10.3390/su12166422
– ident: 10.1016/j.asoc.2023.110908_bib65
  doi: 10.1007/978-3-319-10377-8_13
– start-page: 2403
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib86
  article-title: A bacterial evolutionary algorithm for automatic data clustering
  publication-title: : 2009 IEEE Congr. Evol. Comput., IEEE, Trondheim, Nor.
  doi: 10.1109/CEC.2009.4983241
– year: 2023
  ident: 10.1016/j.asoc.2023.110908_bib33
  article-title: An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-023-10470-y
– year: 1975
  ident: 10.1016/j.asoc.2023.110908_bib75
  article-title: Adaption in natural and artificial systems: an introductory analysis with application to Biology
– ident: 10.1016/j.asoc.2023.110908_bib98
– volume: 83
  start-page: 80
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib105
  article-title: The ant lion optimizer
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2015.01.010
– volume: 55
  start-page: 702
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib212
  article-title: Hermit crab optimizer (HCO): a novel meta-heuristic algorithm
  publication-title: IFAC-Pap.
– volume: 52
  start-page: 2191
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib4
  article-title: Metaheuristic research: a comprehensive survey
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-017-9605-z
– volume: 70
  start-page: 124
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib81
  article-title: The hybrid genetic algorithm with two local optimization strategies for traveling salesman problem
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2014.01.015
– ident: 10.1016/j.asoc.2023.110908_bib97
  doi: 10.1109/CEC.2001.934391
– ident: 10.1016/j.asoc.2023.110908_bib18
  doi: 10.1007/978-981-15-2188-1_5
– ident: 10.1016/j.asoc.2023.110908_bib210
  doi: 10.1109/SMC52423.2021.9659164
– volume: 14
  start-page: 483
  year: 2011
  ident: 10.1016/j.asoc.2023.110908_bib177
  article-title: A water-flow algorithm for flexible flow shop scheduling with intermediate buffers
  publication-title: J. Sched.
  doi: 10.1007/s10951-010-0205-x
– volume: 52
  start-page: 51
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib47
  article-title: An exact approach for a variant of the FS-TSP
  publication-title: Transp. Res. Procedia
  doi: 10.1016/j.trpro.2021.01.008
– start-page: 71
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib205
  article-title: - Impacts of metaheuristic and swarm intelligence approach in optimization
– ident: 10.1016/j.asoc.2023.110908_bib17
  doi: 10.1145/3450292.3450308
– volume: 10
  start-page: 475
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib45
  article-title: A self-parametrization framework for meta-heuristics
  publication-title: Mathematics
  doi: 10.3390/math10030475
– start-page: 386
  year: 2013
  ident: 10.1016/j.asoc.2023.110908_bib189
  article-title: Soccer game optimization
– volume: 36
  start-page: 801
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib60
  article-title: Bibliometric analysis of affective computing researches during 1999–2018
  publication-title: Int. J. Hum. Inter.
– start-page: 65
  year: 2010
  ident: 10.1016/j.asoc.2023.110908_bib110
  article-title: A new metaheuristic bat-inspired algorithm
– ident: 10.1016/j.asoc.2023.110908_bib130
  doi: 10.1109/ICDIM.2015.7381893
– volume: 41
  start-page: 145
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib186
  article-title: Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts
  publication-title: Appl. Intell.
  doi: 10.1007/s10489-013-0512-y
– volume: 11
  start-page: 253
  year: 1966
  ident: 10.1016/j.asoc.2023.110908_bib92
  article-title: Intelligent decision making through a simulation of evolution
  publication-title: Behav. Sci.
  doi: 10.1002/bs.3830110403
– ident: 10.1016/j.asoc.2023.110908_bib144
  doi: 10.1109/ICNN.1995.488968
– volume: 29
  start-page: 4213
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib61
  article-title: A bibliometric analysis on optimization solution methods applied to supply chain of solar energy
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-022-09736-5
– start-page: 454
  year: 2006
  ident: 10.1016/j.asoc.2023.110908_bib113
  article-title: - The bees algorithm — a novel tool for complex optimisation problems
– volume: 114
  start-page: 163
  year: 2017
  ident: 10.1016/j.asoc.2023.110908_bib149
  article-title: Salp swarm algorithm: a bio-inspired optimizer for engineering design problems
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2017.07.002
– ident: 10.1016/j.asoc.2023.110908_bib87
  doi: 10.1007/978-3-642-30976-2_31
– ident: 10.1016/j.asoc.2023.110908_bib95
  doi: 10.1109/TAI.1990.130444
– volume: 45
  start-page: 732
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib23
  article-title: Classification of applied methods of combinatorial optimization
  publication-title: Cybern. Syst. Anal.
  doi: 10.1007/s10559-009-9134-0
– volume: 23
  start-page: 879
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib208
  article-title: A discrete tree-seed algorithm for solving symmetric traveling salesman problem
  publication-title: Eng. Sci. Technol. Int. J.
– start-page: 185
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib29
  article-title: Metaheuristic algorithms: a comprehensive review
– volume: 32
  start-page: 284
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib168
  article-title: Crystal energy optimization algorithm
  publication-title: Comput. Intell.
  doi: 10.1111/coin.12053
– start-page: 163
  year: 2007
  ident: 10.1016/j.asoc.2023.110908_bib174
  article-title: Using river formation dynamics to design heuristic algorithms
– volume: 1
  start-page: 53
  year: 1997
  ident: 10.1016/j.asoc.2023.110908_bib77
  article-title: Ant colony system: a cooperative learning approach to the traveling salesman problem
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/4235.585892
– volume: 47
  start-page: 417
  year: 2017
  ident: 10.1016/j.asoc.2023.110908_bib26
  article-title: Plant intelligence based metaheuristic optimization algorithms
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-016-9486-6
– start-page: 43
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib40
  article-title: Metaheuristics and swarm methods: a discussion on their performance and applications
  publication-title: N. Adv. Swarm Algorithms Oper. Appl., Springe Int. Publ., Cham
– ident: 10.1016/j.asoc.2023.110908_bib69
– start-page: 167
  year: 2004
  ident: 10.1016/j.asoc.2023.110908_bib100
  article-title: SOMA - self-organizing migrating algorithm
– volume: 64
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib74
  article-title: A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
  publication-title: Swarm Evol. Comput.
  doi: 10.1016/j.swevo.2021.100888
– year: 1989
  ident: 10.1016/j.asoc.2023.110908_bib76
– volume: 76
  start-page: 443
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib102
  article-title: African buffalo optimization: a swarm-intelligence technique
  publication-title: Procedia Comput. Sci.
  doi: 10.1016/j.procs.2015.12.291
– start-page: 635
  year: 2002
  ident: 10.1016/j.asoc.2023.110908_bib94
  article-title: Gene expression programming in problem solving
– volume: 1
  start-page: 69
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib51
  article-title: Performance analysis of optimization methods for solving traveling salesman problem
  publication-title: Innov. Technol. Sci. Solut. Ind.
– ident: 10.1016/j.asoc.2023.110908_bib128
  doi: 10.1007/978-3-642-37371-8_26
– year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib184
  article-title: Deer hunting optimization algorithm: a new nature-inspired meta-heuristic paradigm
  publication-title: Comput. J.
  doi: 10.1093/comjnl/bxy133
– volume: 12
  start-page: 702
  year: 2008
  ident: 10.1016/j.asoc.2023.110908_bib88
  article-title: Biogeography-based optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2008.919004
– volume: 4
  start-page: 387
  year: 1992
  ident: 10.1016/j.asoc.2023.110908_bib36
  article-title: Fast algorithms for geometric traveling salesman problems
  publication-title: ORSA J. Comput.
  doi: 10.1287/ijoc.4.4.387
– volume: 14
  start-page: 381
  year: 2010
  ident: 10.1016/j.asoc.2023.110908_bib167
  article-title: Chemical-reaction-inspired metaheuristic for optimization
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2009.2033580
– volume: 25
  start-page: 125
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib13
  article-title: Extensions of the activity chain optimization method
  publication-title: J. Urban Technol.
  doi: 10.1080/10630732.2017.1407998
– start-page: 44
  year: 1995
  ident: 10.1016/j.asoc.2023.110908_bib20
  article-title: , An overview of evolutionary algorithms in management applications
– ident: 10.1016/j.asoc.2023.110908_bib108
– volume: 17
  start-page: 71
  year: 2017
  ident: 10.1016/j.asoc.2023.110908_bib198
  article-title: Golden sine algorithm: a novel math-inspired algorithm
  publication-title: Adv. Electr. Comput. Eng.
  doi: 10.4316/AECE.2017.02010
– volume: 35
  start-page: 254
  year: 1987
  ident: 10.1016/j.asoc.2023.110908_bib35
  article-title: Algorithms for the vehicle routing and scheduling problems with time window constraints
  publication-title: Oper. Res.
  doi: 10.1287/opre.35.2.254
– volume: 123
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib12
  article-title: Parallel implementation of metaheuristics for optimizing tool path computation on CNC machining
  publication-title: Comput. Ind.
  doi: 10.1016/j.compind.2020.103322
– ident: 10.1016/j.asoc.2023.110908_bib72
  doi: 10.1109/ChiCC.2014.6896450
– volume: 11
  start-page: 215
  year: 1981
  ident: 10.1016/j.asoc.2023.110908_bib19
  article-title: The design and analysis of heuristics
  publication-title: Networks
  doi: 10.1002/net.3230110210
– ident: 10.1016/j.asoc.2023.110908_bib161
– volume: 16
  start-page: 876
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib195
  article-title: Tree physiology optimization in constrained optimization problem
  publication-title: Telkomnika (Telecommun. Comput. Electron. Control
  doi: 10.12928/telkomnika.v16i2.9021
– volume: 46
  start-page: 1
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib62
  article-title: Review articles: purpose, process, and structure
  publication-title: J. Acad. Mark. Sci.
  doi: 10.1007/s11747-017-0563-4
– volume: 69
  start-page: 46
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib136
  article-title: Grey Wolf Optimizer
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2013.12.007
– volume: 140
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib41
  article-title: A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2019.106242
– volume: 30
  start-page: 614
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib153
  article-title: A social spider algorithm for global optimization
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2015.02.014
– volume: 152
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib139
  article-title: Marine predators algorithm: a nature-inspired metaheuristic
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2020.113377
– volume: 31
  start-page: 1995
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib141
  article-title: Monarch butterfly optimization
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-015-1923-y
– volume: 118
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib213
  article-title: Discrete sparrow search algorithm for symmetric traveling salesman problem
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2022.108469
– volume: 95
  start-page: 51
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib158
  article-title: The whale optimization algorithm
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2016.01.008
– volume: 59
  start-page: 231
  year: 1992
  ident: 10.1016/j.asoc.2023.110908_bib7
  article-title: The traveling salesman problem: an overview of exact and approximate algorithms
  publication-title: Eur. J. Oper. Res
  doi: 10.1016/0377-2217(92)90138-Y
– volume: 148
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib187
  article-title: Group teaching optimization algorithm: a novel metaheuristic method for solving global optimization problems
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2020.113246
– volume: 60
  start-page: 1
  year: 2017
  ident: 10.1016/j.asoc.2023.110908_bib150
  article-title: Satin bowerbird optimizer: a new optimization algorithm to optimize ANFIS for software development effort estimation
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2017.01.006
– ident: 10.1016/j.asoc.2023.110908_bib93
– start-page: 210
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib126
  article-title: Cuckoo search via Lévy flights
  publication-title: World Congr. Nat. Biol. Inspired Comput., IEEE, Coimbatore, India
– volume: 7
  start-page: 285
  year: 2000
  ident: 10.1016/j.asoc.2023.110908_bib37
  article-title: Classical and modern heuristics for the vehicle routing problem
  publication-title: Int. Trans. Oper. Res.
  doi: 10.1111/j.1475-3995.2000.tb00200.x
– volume: 2014
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib194
  article-title: A plant propagation algorithm for constrained engineering optimisation problems
  publication-title: Math. Probl. Eng.
  doi: 10.1155/2014/627416
– volume: 1
  start-page: 93
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib135
  article-title: Glowworm swarm optimisation: a new method for optimising multi-modal functions
  publication-title: Int. J. Comput. Intell. Stud.
– volume: 104
  start-page: 333
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib57
  article-title: Literature review as a research methodology: an overview and guidelines
  publication-title: J. Bus. Res
  doi: 10.1016/j.jbusres.2019.07.039
– volume: 179
  start-page: 2232
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib171
  article-title: GSA: a gravitational search algorithm
  publication-title: Inf. Sci. (Ny. )
  doi: 10.1016/j.ins.2009.03.004
– volume: 24
  start-page: 475
  year: 2007
  ident: 10.1016/j.asoc.2023.110908_bib178
  article-title: Water flow-like algorithm for object grouping problems
  publication-title: J. Chin. Inst. Ind. Eng.
– volume: 53
  start-page: 753
  issue: 2019
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib1
  article-title: From ants to whales: metaheuristics for all tastes
  publication-title: Artif. Intell. Rev.
– volume: 1
  start-page: 355
  year: 2006
  ident: 10.1016/j.asoc.2023.110908_bib96
  article-title: A novel numerical optimization algorithm inspired from weed colonization
  publication-title: Ecol. Inform.
  doi: 10.1016/j.ecoinf.2006.07.003
– volume: 23
  start-page: 715
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib117
  article-title: Butterfly optimization algorithm: a novel approach for global optimization
  publication-title: Soft Comput.
  doi: 10.1007/s00500-018-3102-4
– volume: 2021
  start-page: 6668345
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib8
  article-title: Solving the traveling salesman problem: a modified metaheuristic algorithm
  publication-title: Complexity
  doi: 10.1155/2021/6668345
– volume: 8
  start-page: 156
  year: 1977
  ident: 10.1016/j.asoc.2023.110908_bib99
  article-title: Heuristics for integer programming using surrogate constraints
  publication-title: Decis. Sci.
  doi: 10.1111/j.1540-5915.1977.tb01074.x
– volume: 111
  start-page: 151
  year: 2012
  ident: 10.1016/j.asoc.2023.110908_bib176
  article-title: Water cycle algorithm – a novel metaheuristic optimization method for solving constrained engineering optimization problems
  publication-title: Comput. Struct. 110–
  doi: 10.1016/j.compstruc.2012.07.010
– volume: 24
  start-page: 1867
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib104
  article-title: Animal migration optimization: an optimization algorithm inspired by animal migration behavior
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-013-1433-8
– volume: 27
  start-page: 1850035
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib181
  article-title: Competitive learning: a new meta-heuristic optimization algorithm
  publication-title: Int. J. Artif. Intell. Tools
  doi: 10.1142/S0218213018500355
– start-page: 1
  year: 2018
  ident: 10.1016/j.asoc.2023.110908_bib124
  article-title: Coyote optimization algorithm: a new metaheuristic for global optimization problems
  publication-title: IEEE Congr. Evol. Comput.
– volume: 15
  start-page: 3142
  year: 2010
  ident: 10.1016/j.asoc.2023.110908_bib112
  article-title: A novel bee swarm optimization algorithm for numerical function optimization
  publication-title: Commun. Nonlinear Sci. Numer. Simul.
  doi: 10.1016/j.cnsns.2009.11.003
– start-page: 240
  year: 2012
  ident: 10.1016/j.asoc.2023.110908_bib193
  article-title: Flower pollination algorithm for global optimization
– start-page: 86
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib121
– ident: 10.1016/j.asoc.2023.110908_bib162
– ident: 10.1016/j.asoc.2023.110908_bib133
– ident: 10.1016/j.asoc.2023.110908_bib160
  doi: 10.1109/IPC.2007.104
– start-page: 960
  year: 2013
  ident: 10.1016/j.asoc.2023.110908_bib22
  article-title: Metaheuristics
– ident: 10.1016/j.asoc.2023.110908_bib142
  doi: 10.1063/1.2817338
– volume: 14
  start-page: 1331
  year: 2015
  ident: 10.1016/j.asoc.2023.110908_bib147
  article-title: Prey-predator algorithm: a new metaheuristic algorithm for optimization problems
  publication-title: Int. J. Inf. Technol. Decis. Mak.
  doi: 10.1142/S021962201450031X
– ident: 10.1016/j.asoc.2023.110908_bib42
  doi: 10.1016/B978-0-12-819714-1.00020-8
– volume: 20
  start-page: 195
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib46
  article-title: An improved augmented -constraint and Branch-and-Cut method to solve the TSP with profits
  publication-title: IEEE Trans. Intell. Transp. Syst.
  doi: 10.1109/TITS.2018.2808179
– volume: 51
  start-page: 369
  year: 2019
  ident: 10.1016/j.asoc.2023.110908_bib114
  article-title: Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets
  publication-title: Eng. Optim.
  doi: 10.1080/0305215X.2018.1463527
– ident: 10.1016/j.asoc.2023.110908_bib89
– start-page: 51
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib27
  article-title: Comparative assessment of light-based intelligent search and optimization algorithms
  publication-title: Light Eng.
  doi: 10.33383/2019-029
– volume: 7
  start-page: 24
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib146
  article-title: Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning
  publication-title: Int. J. Intell. Comput. Cyber
  doi: 10.1108/IJICC-02-2014-0005
– volume: 29
  start-page: 195
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib44
  article-title: Review of vehicle routing problems: models, classification and solving algorithms
  publication-title: Arch. Comput. Methods Eng.
  doi: 10.1007/s11831-021-09574-x
– volume: 229
  start-page: 58
  year: 2013
  ident: 10.1016/j.asoc.2023.110908_bib107
  article-title: Artificial cooperative search algorithm for numerical optimization problems
  publication-title: Inf. Sci. (Ny. )
  doi: 10.1016/j.ins.2012.11.013
– start-page: 303
  year: 2011
  ident: 10.1016/j.asoc.2023.110908_bib180
– volume: 55
  start-page: 315
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib48
  article-title: Exact methods for the traveling salesman problem with drone
  publication-title: Transp. Sci.
  doi: 10.1287/trsc.2020.1017
– volume: 222
  start-page: 175
  year: 2013
  ident: 10.1016/j.asoc.2023.110908_bib166
  article-title: Black hole: A new heuristic optimization approach for data clustering
  publication-title: , Inf. Sci. (Ny. )
  doi: 10.1016/j.ins.2012.08.023
– ident: 10.1016/j.asoc.2023.110908_bib170
  doi: 10.1109/ICCIT.2009.319
– volume: 35
  start-page: 268
  year: 2003
  ident: 10.1016/j.asoc.2023.110908_bib38
  article-title: Metaheuristics in combinatorial optimization: overview and conceptual comparison
  publication-title: ACM Comput. Surv.
  doi: 10.1145/937503.937505
– start-page: 222
  year: 2013
  ident: 10.1016/j.asoc.2023.110908_bib145
– year: 2023
  ident: 10.1016/j.asoc.2023.110908_bib9
  article-title: Automated system for freight transportation optimization on the transport network
  publication-title: Period. Polytech. Transp. Eng.
  doi: 10.3311/PPtr.21485
– ident: 10.1016/j.asoc.2023.110908_bib11
  doi: 10.1109/PAAP54281.2021.9720453
– volume: 96
  start-page: 120
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib152
  article-title: SCA: a sine cosine algorithm for solving optimization problems
  publication-title: Knowl. -Based Syst.
  doi: 10.1016/j.knosys.2015.12.022
– volume: 543
  start-page: 2323
  issue: 54
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib15
  article-title: Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
  publication-title: Artif. Intell. Rev.
  doi: 10.1007/s10462-020-09906-6
– start-page: 29
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib53
  article-title: Comparison of discrete memetic evolutionary metaheuristics for TSP
– volume: 7
  start-page: 19
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib200
  article-title: Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems
  publication-title: Int. J. Ind. Eng. Comput.
– volume: 6
  start-page: 31
  year: 2014
  ident: 10.1016/j.asoc.2023.110908_bib154
  article-title: Spider monkey optimization algorithm for numerical optimization
  publication-title: Memetic Comput.
  doi: 10.1007/s12293-013-0128-0
– volume: 39
  start-page: 459
  year: 2007
  ident: 10.1016/j.asoc.2023.110908_bib106
  article-title: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
  publication-title: J. Glob. Optim.
  doi: 10.1007/s10898-007-9149-x
– volume: 114
  start-page: 48
  year: 2017
  ident: 10.1016/j.asoc.2023.110908_bib155
  article-title: Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2017.05.014
– start-page: 383
  year: 2011
  ident: 10.1016/j.asoc.2023.110908_bib169
  article-title: Otsu’s criterion-based multilevel thresholding by a nature-inspired metaheuristic called Galaxy-based Search Algorithm, in: 2011
  publication-title: Third World Congr. Nat. Biol. Inspired Comput., IEEE, Salamanca, Spain
– volume: 26
  start-page: 91
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib56
  article-title: A typology of reviews: an analysis of 14 review types and associated methodologies, Heal
  publication-title: Inf. Libr. J.
  doi: 10.1111/j.1471-1842.2009.00848.x
– start-page: 305
  year: 2010
  ident: 10.1016/j.asoc.2023.110908_bib116
  article-title: A bumble bees mating optimization algorithm for global unconstrained optimization problems
– volume: 107
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib82
  article-title: Ant colony optimization for traveling salesman problem based on parameters optimization
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2021.107439
– volume: 7
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib70
  article-title: Performance assessment of metaheuristic algorithms for structural optimization taking into account the influence of algorithmic control parameters
  publication-title: Front. Built Environ.
  doi: 10.3389/fbuil.2021.618851
– volume: 117
  year: 2023
  ident: 10.1016/j.asoc.2023.110908_bib34
  article-title: A survey of recently developed metaheuristics and their comparative analysis
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2022.105622
– volume: 43
  start-page: 303
  year: 2011
  ident: 10.1016/j.asoc.2023.110908_bib191
  article-title: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems
  publication-title: Comput. Des.
– volume: 158
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib103
  article-title: African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2021.107408
– volume: 80
  start-page: 116
  year: 2013
  ident: 10.1016/j.asoc.2023.110908_bib24
  article-title: A brief review of nature-inspired algorithms for optimization
  publication-title: Elektro Vestn. /Electrotech. Rev.
– volume: 28
  start-page: 673
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib115
  article-title: A new bio-inspired optimisation algorithm: bird swarm algorithm
  publication-title: J. Exp. Theor. Artif. Intell.
  doi: 10.1080/0952813X.2015.1042530
– volume: 3
  start-page: 124
  year: 1999
  ident: 10.1016/j.asoc.2023.110908_bib71
  article-title: Parameter control in evolutionary algorithms
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/4235.771166
– ident: 10.1016/j.asoc.2023.110908_bib16
  doi: 10.1109/CONFLUENCE.2016.7508040
– ident: 10.1016/j.asoc.2023.110908_bib122
  doi: 10.1109/ICCET.2010.5485993
– volume: 169
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib67
  article-title: Bibliometric analysis of nature inspired optimization techniques
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2022.108161
– volume: 45
  start-page: 175
  year: 2020
  ident: 10.1016/j.asoc.2023.110908_bib59
  article-title: Conducting systematic literature reviews and bibliometric analyses
  publication-title: Aust. J. Manag
  doi: 10.1177/0312896219877678
– volume: 376
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib197
  article-title: The arithmetic optimization algorithm
  publication-title: Comput. Methods Appl. Mech. Eng.
  doi: 10.1016/j.cma.2020.113609
– start-page: 4661
  year: 2007
  ident: 10.1016/j.asoc.2023.110908_bib188
  article-title: Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
  publication-title: : 2007 IEEE Congr. Evol. Comput., IEEE, Singap.
  doi: 10.1109/CEC.2007.4425083
– ident: 10.1016/j.asoc.2023.110908_bib111
– volume: 10
  year: 2022
  ident: 10.1016/j.asoc.2023.110908_bib58
  article-title: A comprehensive bibliometric analysis of fractional programming
  publication-title: Mathematics
  doi: 10.3390/math10111796
– volume: 169
  start-page: 1
  year: 2016
  ident: 10.1016/j.asoc.2023.110908_bib125
  article-title: A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm
  publication-title: Comput. Struct.
  doi: 10.1016/j.compstruc.2016.03.001
– volume: 1
  start-page: 71
  year: 2009
  ident: 10.1016/j.asoc.2023.110908_bib173
  article-title: The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
  publication-title: Int. J. Bio-Inspired Comput.
  doi: 10.1504/IJBIC.2009.022775
– volume: 104
  start-page: 86
  year: 1993
  ident: 10.1016/j.asoc.2023.110908_bib199
  publication-title: N. Optim. Heuristics: Gt. Deluge Algorithm Rec. -to-Rec. Travel, J. Comput. Phys.
– volume: 7
  start-page: 196
  year: 2010
  ident: 10.1016/j.asoc.2023.110908_bib66
  article-title: Citation Analysis: Comparison of Web of Science®, Scopus™, SciFinder®, and Google Scholar
– ident: 10.1016/j.asoc.2023.110908_bib201
  doi: 10.1007/3-540-29937-8_11
– volume: 24
  start-page: 1097
  year: 1997
  ident: 10.1016/j.asoc.2023.110908_bib192
  article-title: Variable neighborhood search
  publication-title: Comput. Oper. Res.
  doi: 10.1016/S0305-0548(97)00031-2
– volume: 9
  start-page: 2335
  issue: 2021
  year: 2021
  ident: 10.1016/j.asoc.2023.110908_bib30
  article-title: Review of metaheuristics inspired from the animal kingdom
  publication-title: Math
  doi: 10.3390/math9182335
– ident: 10.1016/j.asoc.2023.110908_bib54
  doi: 10.1109/ICDS53782.2021.9626724
SSID ssj0016928
Score 2.6129472
SecondaryResourceType review_article
Snippet Activity-based scheduling optimization is a combinatorial problem built on the traveling salesman problem intending to optimize people schedules considering...
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 110908
SubjectTerms Bibliometric analysis
Metaheuristic algorithms
Optimization problems
Scheduling optimization
Traveling salesman problem
Title A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems
URI https://dx.doi.org/10.1016/j.asoc.2023.110908
Volume 148
WOSCitedRecordID wos001094429700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals 2021
  customDbUrl:
  eissn: 1872-9681
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0016928
  issn: 1568-4946
  databaseCode: AIEXJ
  dateStart: 20010601
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1La9wwEBbtpode-i5NX-jQm1GwLa0tHZewpQ8IgWxhoQcjyXKzya4d1t4S8uszsmTtpimhLfRijJAso_kYjUYz8yH0YRyzXFFtSFZySZiSGZGxpATwwpm9maNM9WQT-dERn8_FsedsbXs6gbyu-eWluPivooY2ELZNnf0LcYePQgO8g9DhCWKH5x8JfrKTjrIynTw1G1eNOZLLH8160Z26GgwR_EbvTZidHBO7mZURnHRh5-kT1BtQJSufoxl51pl215IdzNcW9HgfmL7phl2wd1rLK0fqvJQlfCiEAE_bq85GlNn7-WRNvi5ab8evmvPmhg8ipT4ZLzjGbiXHOF2accKE9zAa18bzlIjMsbQEBexqbd5S5s6vcHYgAacHdtq-PGrMt1tXCCg8sZPZueBEFdsSiPfRXpqPBR-hvcnn6fxLuFnKRM-3G37OJ1K5mL9fZ_q9sbJjgMyeoEf-5IAnTuJP0T1TP0OPB1YO7JX0c_R9gh0AcFPhGwDAWwBgAAD2AMABAHgLALwLADwA4AX69nE6O_xEPIUG0ZSxjiRaMJ2VeSnHKc-UqExVMa24zE2iTC5lmitVlZYWziiqtKCKaSpZJY1m0Je-RKO6qc0rhBUY49BHq4THtnasgJOq0imY11Jnacn2UTKsVaF9fXlLc7IshkDCs8Kub2HXt3Dru4-iMObCVVe5s_d4EEHh7UNn9xWAmDvGvf7HcW_Qwy3Y36JRt96Yd-iB_tkt2vV7D6xrSqqNwQ
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+review+of+metaheuristic+algorithms+for+solving+TSP-based+scheduling+optimization+problems&rft.jtitle=Applied+soft+computing&rft.au=Toaza%2C+Bladimir&rft.au=Eszterg%C3%A1r-Kiss%2C+Domokos&rft.date=2023-11-01&rft.pub=Elsevier+B.V&rft.issn=1568-4946&rft.eissn=1872-9681&rft.volume=148&rft_id=info:doi/10.1016%2Fj.asoc.2023.110908&rft.externalDocID=S1568494623009262
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1568-4946&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1568-4946&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1568-4946&client=summon