A novel multi-objective optimization algorithm based on Lightning Attachment Procedure Optimization algorithm
In this paper, a novel multi-objective optimization method based on a recently introduced algorithm known as Lightning Attachment Procedure Optimization (LAPO) is presented. The proposed algorithm is based on non-dominated sorting approach where the best solutions chosen from the Pareto Optimal Fron...
Saved in:
| Published in: | Applied soft computing Vol. 75; pp. 404 - 427 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.02.2019
|
| Subjects: | |
| ISSN: | 1568-4946, 1872-9681 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | In this paper, a novel multi-objective optimization method based on a recently introduced algorithm known as Lightning Attachment Procedure Optimization (LAPO) is presented. The proposed algorithm is based on non-dominated sorting approach where the best solutions chosen from the Pareto Optimal Front (POF), based on crowding distance, are stored in a repository matrix called an Archive matrix. The procedure is performed such that the final best solutions are distributed evenly along the optimal PF. Then, the proposed algorithm is tested by some multi-objective optimization functions and some classical engineering problems also. The results are compared to those of four well-known methods and then discussed. The results are compared using 4 criteria which show how to select a POF close to the true POF, how the results are distributed, and how close the final results approximate all the possible outcomes of true POF. It is shown that the proposed method outperforms the other methods with regards to 3 criteria and yields comparable results regarding the last criteria. Superiority of the proposed method in finding the true POF while covering a wide range of possible optimal results is discussed in the results section. Therefore, it is concluded that the proposed method does an excellent job at solving a wide range of multi-objective optimization problems.
[Display omitted]
•In this paper a novel multi-objective optimization algorithm known as MOLAPO is proposed.•The Archive matrix is used to guarantee finding the best answers during the optimization.•According to the results the proposed method is highly recommended for the complicated multi-objective problems. |
|---|---|
| AbstractList | In this paper, a novel multi-objective optimization method based on a recently introduced algorithm known as Lightning Attachment Procedure Optimization (LAPO) is presented. The proposed algorithm is based on non-dominated sorting approach where the best solutions chosen from the Pareto Optimal Front (POF), based on crowding distance, are stored in a repository matrix called an Archive matrix. The procedure is performed such that the final best solutions are distributed evenly along the optimal PF. Then, the proposed algorithm is tested by some multi-objective optimization functions and some classical engineering problems also. The results are compared to those of four well-known methods and then discussed. The results are compared using 4 criteria which show how to select a POF close to the true POF, how the results are distributed, and how close the final results approximate all the possible outcomes of true POF. It is shown that the proposed method outperforms the other methods with regards to 3 criteria and yields comparable results regarding the last criteria. Superiority of the proposed method in finding the true POF while covering a wide range of possible optimal results is discussed in the results section. Therefore, it is concluded that the proposed method does an excellent job at solving a wide range of multi-objective optimization problems.
[Display omitted]
•In this paper a novel multi-objective optimization algorithm known as MOLAPO is proposed.•The Archive matrix is used to guarantee finding the best answers during the optimization.•According to the results the proposed method is highly recommended for the complicated multi-objective problems. |
| Author | Rahiminejad, A. Vahidi, B. Foroughi Nematollahi, A. |
| Author_xml | – sequence: 1 givenname: A. surname: Foroughi Nematollahi fullname: Foroughi Nematollahi, A. email: amin.forooghi@aut.ac.ir organization: Electrical Engineering Department, Amirkabir University of Technology, Tehran, 1591634311, Iran – sequence: 2 givenname: A. surname: Rahiminejad fullname: Rahiminejad, A. email: abolfazl.rahiminezhad@gmail.com organization: Department of Electrical and Computer Science, Esfarayen University of Technology, Esfarayen, North Khorasan, 9661998195, Iran – sequence: 3 givenname: B. orcidid: 0000-0002-9430-9468 surname: Vahidi fullname: Vahidi, B. email: vahidi@aut.ac.ir organization: Electrical Engineering Department, Amirkabir University of Technology, Tehran, 1591634311, Iran |
| BookMark | eNp9kMtqwzAQRUVpoUnaH-hKP2DXY9mKDN2E0BcE0kW7FrI8TmRsK0hKoP36Kk1XpWQ1w8C5zD1TcjnaEQm5gyyFDPh9lypvdZpnIFKANGP5BZmAmOdJxQVcxr3kIimqgl-TqfddFqEqFxMyLOhoD9jTYd8Hk9i6Qx3MAandBTOYLxWMHanqN9aZsB1orTw2NJ5WZrMNoxk3dBGC0tsBx0DfnNXY7B3S9b_4DblqVe_x9nfOyMfT4_vyJVmtn1-Xi1WiWSFC0tZNGf9THAVwKBi0KkfgQpSlwGJea4ZYiqpgus4ZtgyyRldaA1dVLXSp2Yzkp1ztrPcOW7lzZlDuU0Imj8JkJ4_C5FGYBJBRWITEH0ib8FMgOGX68-jDCcVY6mDQSa8NjtGFcdGnbKw5h38DJ9CMPA |
| CitedBy_id | crossref_primary_10_1007_s00202_021_01397_0 crossref_primary_10_1016_j_asoc_2021_107727 crossref_primary_10_1002_er_4429 crossref_primary_10_1007_s00500_019_03949_w crossref_primary_10_1016_j_eswa_2021_114974 crossref_primary_10_1109_ACCESS_2020_3022846 crossref_primary_10_1109_ACCESS_2021_3085529 crossref_primary_10_3390_app11094156 crossref_primary_10_1016_j_compeleceng_2021_107658 crossref_primary_10_1007_s00521_021_06807_9 crossref_primary_10_1108_EC_03_2020_0150 crossref_primary_10_3390_en18123005 crossref_primary_10_1007_s40747_020_00189_6 crossref_primary_10_1002_for_2888 crossref_primary_10_1155_2021_6638559 crossref_primary_10_1080_15325008_2020_1856228 crossref_primary_10_1007_s10489_020_01666_8 crossref_primary_10_1016_j_asoc_2020_106486 crossref_primary_10_1016_j_eswa_2025_128913 crossref_primary_10_1109_ACCESS_2021_3059201 crossref_primary_10_1007_s42835_021_00804_7 crossref_primary_10_1016_j_pes_2025_100060 crossref_primary_10_1016_j_swevo_2022_101196 crossref_primary_10_1016_j_asoc_2021_107814 crossref_primary_10_1007_s00521_021_05915_w crossref_primary_10_1007_s00366_020_00963_7 crossref_primary_10_3390_su13168846 crossref_primary_10_1007_s00521_023_08850_0 crossref_primary_10_1016_j_epsr_2024_111365 crossref_primary_10_1007_s00521_020_04779_w crossref_primary_10_1007_s00500_020_04936_2 crossref_primary_10_1007_s00202_022_01503_w crossref_primary_10_1016_j_swevo_2024_101724 crossref_primary_10_1038_s41598_024_78384_5 crossref_primary_10_1155_2020_3418904 crossref_primary_10_1109_TGRS_2021_3132610 crossref_primary_10_3390_a17100433 crossref_primary_10_1007_s10115_020_01503_x crossref_primary_10_1007_s00521_021_05717_0 crossref_primary_10_1109_ACCESS_2020_3012119 crossref_primary_10_1007_s13369_020_04587_3 |
| Cites_doi | 10.1016/j.asoc.2017.06.033 10.1007/s00158-005-0527-z 10.1287/mnsc.17.4.B141 10.1007/s00158-002-0178-2 10.1007/s10489-016-0825-8 10.1007/s00158-003-0368-6 10.1007/BF00932634 10.1016/j.asoc.2006.03.001 10.1007/s00521-015-2089-3 10.1007/s00170-010-3140-2 10.1007/s00170-008-1558-6 10.1080/03052150210915 10.1016/j.asoc.2009.12.008 10.1109/JSEN.2016.2570281 10.1016/j.energy.2017.01.071 10.1007/s10462-012-9328-0 10.1109/MCI.2006.1597059 10.1016/j.energy.2011.09.027 10.1016/j.robot.2015.02.009 10.1063/1.4966230 10.1137/S1052623497315203 10.3906/elk-1205-80 10.1109/4235.585893 10.1162/evco.1994.2.3.221 10.1016/j.engappai.2012.11.006 10.1016/j.engappai.2010.02.005 10.1016/j.robot.2014.11.010 10.1016/j.ins.2009.12.025 10.1016/j.cie.2007.06.007 10.1016/j.eswa.2015.10.039 10.1016/S0965-9978(00)00110-1 10.1007/s00521-015-1920-1 10.1016/j.ins.2013.02.041 10.1016/j.ins.2014.12.037 10.1016/j.swevo.2011.08.001 10.1063/1.5011156 10.1162/106365600568202 10.1063/1.5043403 10.1016/j.ijepes.2008.04.005 10.1016/j.swevo.2011.03.001 10.1109/TPWRD.2016.2616518 10.1016/j.asoc.2014.10.042 10.1109/TSG.2018.2796034 10.1016/j.amc.2012.03.018 |
| ContentType | Journal Article |
| Copyright | 2018 Elsevier B.V. |
| Copyright_xml | – notice: 2018 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.asoc.2018.11.032 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-9681 |
| EndPage | 427 |
| ExternalDocumentID | 10_1016_j_asoc_2018_11_032 S1568494618306641 |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 53G 5GY 5VS 6J9 7-5 71M 8P~ AABNK AACTN AAEDT AAEDW 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-c348t-fbd5169a6e8161431fa2e1688558e47bc3ee58943cb23ef310dc9cc16a9b8c5c3 |
| ISICitedReferencesCount | 44 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000454941500030&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 03:05:36 EST 2025 Tue Nov 18 20:19:53 EST 2025 Fri Feb 23 02:24:50 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Pareto optimal solutions Lightning Attachment Procedure Optimization Non-dominated sorting Benchmark problem Multi objective optimization method Meta-heuristic Evolutionary multi-objective optimization |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c348t-fbd5169a6e8161431fa2e1688558e47bc3ee58943cb23ef310dc9cc16a9b8c5c3 |
| ORCID | 0000-0002-9430-9468 |
| PageCount | 24 |
| ParticipantIDs | crossref_primary_10_1016_j_asoc_2018_11_032 crossref_citationtrail_10_1016_j_asoc_2018_11_032 elsevier_sciencedirect_doi_10_1016_j_asoc_2018_11_032 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-02-01 |
| PublicationDateYYYYMMDD | 2019-02-01 |
| PublicationDate_xml | – month: 02 year: 2019 text: 2019-02-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Applied soft computing |
| PublicationYear | 2019 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Rahiminejad, Alimardani, Vahidi, Hosseinian (b70) 2014; 22 Amini, Jaddivada, Mishra, Karabasoglu (b72) 2015 Semwal, Mondal, Nandi (b56) 2017; 28 Mirjalili (b66) 2016; 27 Bellman, Zadeh (b10) 1970; 17 Mirjalili, Saremi, Mirjalili, dos S. Coelho (b4) 2016; 47 Coello (b12) 1999; 1 Niknam, rasoul Narimani, Jabbari, Malekpour (b44) 2011; 36 Horn, Nafpliotis, Goldberg (b31) 1994 Mirjalili (b24) 2018 Semwal, Singha, Sharma, Chauhan, Behera (b54) 2016 Babu, Jehan (b38) 2003 Iorio, Li (b41) 2004 Tomsovic, Chow (b11) 1999 Branke, Deb (b25) 2005 Akbari, Hedayatzadeh, Ziarati, Hassanizadeh (b50) 2012; 2 Zitzler, Deb, Thiele (b63) 2000; 8 Mohammadi, Mehrtash, Kargarian (b74) 2018 Fonseca, Fleming (b30) 1993 Madavan (b40) 2002 Zitzler, Thiele (b32) 1998 Moosavi, Vahidi, Askarian Abyaneh, Foroughi Nematollahi (b57) 2017; 9 Li, Pan, Xie (b47) 2012; 218 Goldberg (b29) 1989 Karaboga, Gorkemli, Ozturk, Karaboga (b49) 2014; 42 Omkar, Senthilnath, Khandelwal, Naik, Gopalakrishnan (b48) 2011; 11 Foroughi Nematollahi, Rahiminejad, Vahidi, Askarian, Safaei (b76) 2018; 10 Boussaï, Lepagnot, Siarry (b3) 2013; 237 Zhang, Liu (b9) 2008; 30 Srinivas, Deb (b19) 1994; 2 Bingul (b58) 2007; 7 Niknam, Farsani (b46) 2010; 23 Ngatchou, Zarei, El-Sharkawi (b17) 2005 Yuan, Zhang, Wang, Liang, Yuan, Huang, Lei (b71) 2017; 122 S.M.K. Herris, MOPSO Matlab Code. Rahimi-Vahed, Dangchi, Rafiei, Salimi (b45) 2009; 41 Zou, Wang, Hei, Chen, Wang (b42) 2013; 26 Mirjalili, Jangir, Saremi (b1) 2017; 46 Parsopoulos, Vrahatis (b36) 2002 Deb, Agrawal, Pratap, Meyarivan (b6) 2000 Marler, Arora (b13) 2004; 26 Coello, Pulido (b67) 2005; 30 S.M.K. Herris, NSGAII Matlab code. Cai, Qu, Cheng (b27) 2017 Kurpati, Azarm, Wu (b68) 2002; 23 Li, Pan, Gao (b26) 2011; 55 Van Veldhuizen, Lamont (b61) 1998 Kelley (b62) 1999; 10 Hamzeh, Vahidi, Nematollahi (b75) 2018 Wolpert, Macready (b28) 1997; 1 Abbass, Sarker, Newton (b39) 2001 Zhou, Qu, Li, Zhao, Suganthan, Zhang (b7) 2011; 1 Semwal, Nandi (b55) 2016; 16 Sierra, Coello (b33) 2005 Rahimi-Vahed, Mirzaei (b43) 2007; 53 Pan, Tasgetiren, Suganthan, Chua (b51) 2011; 181 Bahrami, Wong, Huang (b73) 2017 Deb (b16) 2001 Coello (b20) 2006; 1 Deb, Sundar (b18) 2006 Forooghi Nematollahi, Dadkhah, Asgari Gashteroodkhani, Vahidi (b77) 2016; 8 Nematollahi, Rahiminejad, Vahidi (b59) 2017 Sadollah, Eskandar, Kim (b65) 2015; 27 Mirjalili (b23) 2018 Semwal, Raj, Nandi (b52) 2015; 65 Branke, Kaußler, Schmeck (b8) 2001; 32 Ray, Liew (b69) 2002; 34 Miettinen, Preface By-Neittaanmaki (b2) 1999 Semwal, Katiyar, Chakraborty, Nandi (b53) 2015; 70 Coello, Lamont, Van Veldhuizen (b14) 2007 Price, Storn, Lampinen (b37) 2006 Stadler (b15) 1979; 29 Nebro, Durillo, Garcia-Nieto, Coello, Luna, Alba (b34) 2009 Mostaghim, Teich (b35) 2003 Mirjalili, Lewis (b64) 2015; 300 Hu, Eberhart (b5) 2002 Rahiminejad, Vahidi (b60) 2017 Boussaï (10.1016/j.asoc.2018.11.032_b3) 2013; 237 Niknam (10.1016/j.asoc.2018.11.032_b44) 2011; 36 Zhang (10.1016/j.asoc.2018.11.032_b9) 2008; 30 Mirjalili (10.1016/j.asoc.2018.11.032_b1) 2017; 46 Stadler (10.1016/j.asoc.2018.11.032_b15) 1979; 29 Semwal (10.1016/j.asoc.2018.11.032_b55) 2016; 16 Zou (10.1016/j.asoc.2018.11.032_b42) 2013; 26 Goldberg (10.1016/j.asoc.2018.11.032_b29) 1989 Wolpert (10.1016/j.asoc.2018.11.032_b28) 1997; 1 Abbass (10.1016/j.asoc.2018.11.032_b39) 2001 Omkar (10.1016/j.asoc.2018.11.032_b48) 2011; 11 Pan (10.1016/j.asoc.2018.11.032_b51) 2011; 181 Deb (10.1016/j.asoc.2018.11.032_b6) 2000 Zitzler (10.1016/j.asoc.2018.11.032_b32) 1998 Mirjalili (10.1016/j.asoc.2018.11.032_b24) 2018 10.1016/j.asoc.2018.11.032_b21 10.1016/j.asoc.2018.11.032_b22 Sadollah (10.1016/j.asoc.2018.11.032_b65) 2015; 27 Babu (10.1016/j.asoc.2018.11.032_b38) 2003 Niknam (10.1016/j.asoc.2018.11.032_b46) 2010; 23 Branke (10.1016/j.asoc.2018.11.032_b25) 2005 Horn (10.1016/j.asoc.2018.11.032_b31) 1994 Hu (10.1016/j.asoc.2018.11.032_b5) 2002 Kurpati (10.1016/j.asoc.2018.11.032_b68) 2002; 23 Rahimi-Vahed (10.1016/j.asoc.2018.11.032_b45) 2009; 41 Rahiminejad (10.1016/j.asoc.2018.11.032_b60) 2017 Ray (10.1016/j.asoc.2018.11.032_b69) 2002; 34 Coello (10.1016/j.asoc.2018.11.032_b67) 2005; 30 Fonseca (10.1016/j.asoc.2018.11.032_b30) 1993 Deb (10.1016/j.asoc.2018.11.032_b16) 2001 Tomsovic (10.1016/j.asoc.2018.11.032_b11) 1999 Mirjalili (10.1016/j.asoc.2018.11.032_b23) 2018 Semwal (10.1016/j.asoc.2018.11.032_b52) 2015; 65 Srinivas (10.1016/j.asoc.2018.11.032_b19) 1994; 2 Van Veldhuizen (10.1016/j.asoc.2018.11.032_b61) 1998 Hamzeh (10.1016/j.asoc.2018.11.032_b75) 2018 Yuan (10.1016/j.asoc.2018.11.032_b71) 2017; 122 Zitzler (10.1016/j.asoc.2018.11.032_b63) 2000; 8 Price (10.1016/j.asoc.2018.11.032_b37) 2006 Nematollahi (10.1016/j.asoc.2018.11.032_b59) 2017 Mostaghim (10.1016/j.asoc.2018.11.032_b35) 2003 Kelley (10.1016/j.asoc.2018.11.032_b62) 1999; 10 Mirjalili (10.1016/j.asoc.2018.11.032_b64) 2015; 300 Bellman (10.1016/j.asoc.2018.11.032_b10) 1970; 17 Amini (10.1016/j.asoc.2018.11.032_b72) 2015 Mirjalili (10.1016/j.asoc.2018.11.032_b4) 2016; 47 Foroughi Nematollahi (10.1016/j.asoc.2018.11.032_b76) 2018; 10 Miettinen (10.1016/j.asoc.2018.11.032_b2) 1999 Coello (10.1016/j.asoc.2018.11.032_b12) 1999; 1 Deb (10.1016/j.asoc.2018.11.032_b18) 2006 Ngatchou (10.1016/j.asoc.2018.11.032_b17) 2005 Rahiminejad (10.1016/j.asoc.2018.11.032_b70) 2014; 22 Rahimi-Vahed (10.1016/j.asoc.2018.11.032_b43) 2007; 53 Coello (10.1016/j.asoc.2018.11.032_b14) 2007 Parsopoulos (10.1016/j.asoc.2018.11.032_b36) 2002 Mohammadi (10.1016/j.asoc.2018.11.032_b74) 2018 Branke (10.1016/j.asoc.2018.11.032_b8) 2001; 32 Bingul (10.1016/j.asoc.2018.11.032_b58) 2007; 7 Marler (10.1016/j.asoc.2018.11.032_b13) 2004; 26 Iorio (10.1016/j.asoc.2018.11.032_b41) 2004 Zhou (10.1016/j.asoc.2018.11.032_b7) 2011; 1 Moosavi (10.1016/j.asoc.2018.11.032_b57) 2017; 9 Forooghi Nematollahi (10.1016/j.asoc.2018.11.032_b77) 2016; 8 Coello (10.1016/j.asoc.2018.11.032_b20) 2006; 1 Cai (10.1016/j.asoc.2018.11.032_b27) 2017 Bahrami (10.1016/j.asoc.2018.11.032_b73) 2017 Nebro (10.1016/j.asoc.2018.11.032_b34) 2009 Akbari (10.1016/j.asoc.2018.11.032_b50) 2012; 2 Semwal (10.1016/j.asoc.2018.11.032_b56) 2017; 28 Semwal (10.1016/j.asoc.2018.11.032_b53) 2015; 70 Mirjalili (10.1016/j.asoc.2018.11.032_b66) 2016; 27 Semwal (10.1016/j.asoc.2018.11.032_b54) 2016 Li (10.1016/j.asoc.2018.11.032_b26) 2011; 55 Sierra (10.1016/j.asoc.2018.11.032_b33) 2005 Madavan (10.1016/j.asoc.2018.11.032_b40) 2002 Li (10.1016/j.asoc.2018.11.032_b47) 2012; 218 Karaboga (10.1016/j.asoc.2018.11.032_b49) 2014; 42 |
| References_xml | – year: 2018 ident: b74 article-title: Diagonal quadratic approximation for decentralized collaborative TSO+ DSO optimal power flow publication-title: IEEE Trans. Smart Grid – volume: 22 start-page: 874 year: 2014 end-page: 892 ident: b70 article-title: Shuffled frog leaping algorithm optimization for AC–DC optimal power flow dispatch publication-title: Turkish J. Electr. Eng. Comput. Sci. – volume: 7 start-page: 791 year: 2007 end-page: 799 ident: b58 article-title: Adaptive genetic algorithms applied to dynamic multiobjective problems publication-title: Appl. Soft Comput. – volume: 55 start-page: 1159 year: 2011 end-page: 1169 ident: b26 article-title: Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems publication-title: Int. J. Adv. Manuf. Technol. – volume: 32 start-page: 499 year: 2001 end-page: 507 ident: b8 article-title: Guidance in evolutionary multi-objective optimization publication-title: Adv. Eng. Softw. – volume: 300 start-page: 158 year: 2015 end-page: 192 ident: b64 article-title: Novel frameworks for creating robust multi-objective benchmark problems publication-title: Inf. Sci. (Ny) – volume: 10 start-page: 43312 year: 2018 ident: b76 article-title: A new evolutionary-analytical two-step optimization method for optimal wind turbine allocation considering maximum capacity publication-title: J. Renew. Sustain. Energy – volume: 1 start-page: 32 year: 2011 end-page: 49 ident: b7 article-title: Multiobjective evolutionary algorithms: A survey of the state of the art publication-title: Swarm Evol. Comput. – volume: 23 start-page: 204 year: 2002 end-page: 213 ident: b68 article-title: Constraint handling improvements for multiobjective genetic algorithms publication-title: Struct. Multidiscip. Optim. – volume: 42 start-page: 21 year: 2014 end-page: 57 ident: b49 article-title: A comprehensive survey: artificial bee colony (ABC) algorithm and applications publication-title: Artif. Intell. Rev. – volume: 70 start-page: 181 year: 2015 end-page: 190 ident: b53 article-title: Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata publication-title: Robot. Auton. Syst. – volume: 8 start-page: 55301 year: 2016 ident: b77 article-title: Optimal sizing and siting of dgs for loss reduction using an iterative-analytical method publication-title: J. Renew. Sustain. Energy – start-page: 84 year: 2005 end-page: 91 ident: b17 article-title: Pareto multi objective optimization publication-title: Intell. Syst. Appl. to Power Syst. 2005 Proc. 13th Int. Conf. – volume: 10 start-page: 43 year: 1999 end-page: 55 ident: b62 article-title: Detection and remediation of stagnation in the Nelder–Mead algorithm using a sufficient decrease condition publication-title: SIAM J. Optim. – volume: 17 start-page: B year: 1970 end-page: 141 ident: b10 article-title: Decision-making in a fuzzy environment publication-title: Manage. Sci. – year: 1999 ident: b2 article-title: Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming – year: 2001 ident: b16 article-title: Multi-Objective Optimization Using Evolutionary Algorithms – volume: 1 start-page: 28 year: 2006 end-page: 36 ident: b20 article-title: Evolutionary multi-objective optimization: a historical view of the field publication-title: IEEE Comput. Intell. Mag. – volume: 30 start-page: 525 year: 2008 end-page: 532 ident: b9 article-title: Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm publication-title: Int. J. Electr. Power Energy Syst. – volume: 46 start-page: 79 year: 2017 end-page: 95 ident: b1 article-title: Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems publication-title: Appl. Intell. – year: 2017 ident: b60 article-title: LPM-based shielding performance analysis of high-voltage substations against direct lightning strokes publication-title: IEEE Trans. Power Deliv – year: 1999 ident: b11 article-title: Tutorial on Fuzzy Logic Application in Power Systems – reference: S.M.K. Herris, MOPSO Matlab Code. – start-page: 2696 year: 2003 end-page: 2703 ident: b38 article-title: Differential evolution for multi-objective optimization publication-title: Evol. Comput. 2003 CEC’03 2003 Congr. – volume: 65 start-page: 65 year: 2015 end-page: 75 ident: b52 article-title: Biometric gait identification based on a multilayer perceptron publication-title: Robot. Auton. Syst. – reference: S.M.K. Herris, NSGAII Matlab code. – volume: 9 start-page: 65504 year: 2017 ident: b57 article-title: Intelligent control of power sharing between parallel-connected boost converters in micro-girds publication-title: J. Renew. Sustain. Energy – start-page: 861 year: 2004 end-page: 872 ident: b41 article-title: Solving rotated multi-objective optimization problems using differential evolution publication-title: Australas. Jt. Conf. Artif. Intell. – volume: 27 start-page: 1053 year: 2016 end-page: 1073 ident: b66 article-title: Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems publication-title: Neural Comput. Appl. – start-page: 1 year: 2015 end-page: 6 ident: b72 article-title: Distributed security constrained economic dispatch publication-title: Innov. Smart Grid Technol., ISGT ASIA, 2015 IEEE – start-page: 849 year: 2000 end-page: 858 ident: b6 article-title: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II publication-title: Int. Conf. Parallel Probl. Solving From Nat – volume: 2 start-page: 221 year: 1994 end-page: 248 ident: b19 article-title: Muiltiobjective optimization using nondominated sorting in genetic algorithms publication-title: Evol. Comput. – volume: 47 start-page: 106 year: 2016 end-page: 119 ident: b4 article-title: Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization publication-title: Expert Syst. Appl. – volume: 29 start-page: 1 year: 1979 end-page: 52 ident: b15 article-title: A survey of multicriteria optimization or the vector maximum problem, part I: 1776–1960 publication-title: J. Optim. Theory Appl. – volume: 8 start-page: 173 year: 2000 end-page: 195 ident: b63 article-title: Comparison of multiobjective evolutionary algorithms: Empirical results publication-title: Evol. Comput. – volume: 53 start-page: 642 year: 2007 end-page: 666 ident: b43 article-title: A hybrid multi-objective shuffled frog-leaping algorithm for a mixed-model assembly line sequencing problem publication-title: Comput. Ind. Eng. – volume: 23 start-page: 1340 year: 2010 end-page: 1349 ident: b46 article-title: A hybrid self-adaptive particle swarm optimization and modified shuffled frog leaping algorithm for distribution feeder reconfiguration publication-title: Eng. Appl. Artif. Intell. – start-page: 66 year: 2009 end-page: 73 ident: b34 article-title: Smpso: A new pso-based metaheuristic for multi-objective optimization publication-title: Comput. Intell. Miulti-Criteria Decis. 2009 mcdm’09 Ieee Symp. – volume: 26 start-page: 369 year: 2004 end-page: 395 ident: b13 article-title: Survey of multi-objective optimization methods for engineering publication-title: Struct. Multidiscip. Optim. – start-page: 292 year: 1998 end-page: 301 ident: b32 article-title: Multiobjective optimization using evolutionary algorithms—a comparative case study publication-title: Int. Conf. Parallel Probl. Solving from Nat. – volume: 41 start-page: 1227 year: 2009 end-page: 1239 ident: b45 article-title: A novel hybrid multi-objective shuffled frog-leaping algorithm for a bi-criteria permutation flow shop scheduling problem publication-title: Int. J. Adv. Manuf. Technol. – start-page: 82 year: 1994 end-page: 87 ident: b31 article-title: A niched pareto genetic algorithm for multiobjective optimization publication-title: Evol. Comput. 1994 IEEE World Congr. Comput. Intell. Proc. First IEEE Conf. – volume: 26 start-page: 1291 year: 2013 end-page: 1300 ident: b42 article-title: Multi-objective optimization using teaching-learning-based optimization algorithm publication-title: Eng. Appl. Artif. Intell. – start-page: 505 year: 2005 end-page: 519 ident: b33 article-title: Improving pso-based multi-objective optimization using crowding, mutation and e-dominance publication-title: Evol. Multi Criterion Optim. – year: 2018 ident: b24 article-title: MOGWO Matlab Code – start-page: 1145 year: 2002 end-page: 1150 ident: b40 article-title: Multiobjective optimization using a Pareto differential evolution approach publication-title: Evol. Comput. 2002 CEC’02 Proc. 2002 Congr. – volume: 28 start-page: 565 year: 2017 end-page: 574 ident: b56 article-title: Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach publication-title: Neural Comput. Appl. – start-page: 461 year: 2005 end-page: 477 ident: b25 article-title: Integrating user preferences into evolutionary multi-objective optimization publication-title: Knowl. Inc. Evol. Comput. – year: 1989 ident: b29 article-title: Genetic Algorithms in Search, Optimization, and Machine Learning – year: 2006 ident: b37 article-title: Differential Evolution: A Practical Approach to Global Optimization – year: 1998 ident: b61 article-title: Multiobjective Evolutionary Algorithm Research: a History and Analysis – volume: 1 start-page: 67 year: 1997 end-page: 82 ident: b28 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. – year: 2018 ident: b75 article-title: Optimizing configuration of cyber network considering graph theory structure and teaching-learning-based optimization (GT-TLBO) publication-title: IEEE Trans. Ind. Informatics – year: 2018 ident: b23 article-title: MOALO Matlab Code – volume: 36 start-page: 6420 year: 2011 end-page: 6432 ident: b44 article-title: A modified shuffle frog leaping algorithm for multi-objective optimal power flow publication-title: Energy – year: 2017 ident: b73 article-title: An online learning algorithm for demand response in smart grid publication-title: IEEE Trans. Smart Grid – start-page: 635 year: 2006 end-page: 642 ident: b18 article-title: Reference point based multi-objective optimization using evolutionary algorithms publication-title: Proc. 8th Annu. Conf. Genet. Evol. Comput. – start-page: 26 year: 2003 end-page: 33 ident: b35 article-title: Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) publication-title: Swarm Intell. Symp. 2003 SIS’03 Proc. 2003 IEEE – volume: 122 start-page: 70 year: 2017 end-page: 82 ident: b71 article-title: Multi-objective optimal power flow based on improved strength pareto evolutionary algorithm publication-title: Energy – start-page: 416 year: 1993 end-page: 423 ident: b30 article-title: Genetic algorithms for multiobjective optimization: formulationdiscussion and generalization publication-title: Icga – start-page: 603 year: 2002 end-page: 607 ident: b36 article-title: Particle swarm optimization method in multiobjective problems publication-title: Proc. 2002 ACM Symp. Appl. Comput. – year: 2017 ident: b59 article-title: A novel physical based meta-heuristic optimization method known as lightning attachment procedure optimization publication-title: Appl. Soft Comput. – volume: 237 start-page: 82 year: 2013 end-page: 117 ident: b3 article-title: A survey on optimization metaheuristics publication-title: Inf. Sci. (Ny) – volume: 16 start-page: 5805 year: 2016 end-page: 5816 ident: b55 article-title: Generation of joint trajectories using hybrid automate-based model: A rocking block-based approach publication-title: IEEE Sens. J. – volume: 30 start-page: 388 year: 2005 end-page: 403 ident: b67 article-title: Multiobjective structural optimization using a microgenetic algorithm publication-title: Struct. Multidiscip. Optim. – volume: 1 start-page: 129 year: 1999 end-page: 156 ident: b12 article-title: A comprehensive survey of evolutionary-based multiobjective optimization techniques publication-title: Knowl. Inf. Syst. – volume: 218 start-page: 9353 year: 2012 end-page: 9371 ident: b47 article-title: An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems publication-title: Appl. Math. Comput. – year: 2007 ident: b14 article-title: Evolutionary Algorithms for Solving Multi-Objective Problems – start-page: 971 year: 2001 end-page: 978 ident: b39 article-title: PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems publication-title: Evol. Comput. 2001 Proc. 2001 Congr. – volume: 11 start-page: 489 year: 2011 end-page: 499 ident: b48 article-title: Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures publication-title: Appl. Soft Comput. – start-page: 1 year: 2016 end-page: 19 ident: b54 article-title: An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification publication-title: Multimedia Tools Appl. – volume: 34 start-page: 141 year: 2002 end-page: 153 ident: b69 article-title: A swarm metaphor for multiobjective design optimization publication-title: Eng. Optim. – start-page: 1677 year: 2002 end-page: 1681 ident: b5 article-title: Multiobjective optimization using dynamic neighborhood particle swarm optimization publication-title: Evol. Comput. 2002 CEC’02 Proc. 2002 Congr. – volume: 2 start-page: 39 year: 2012 end-page: 52 ident: b50 article-title: A multi-objective artificial bee colony algorithm publication-title: Swarm Evol. Comput. – volume: 181 start-page: 2455 year: 2011 end-page: 2468 ident: b51 article-title: A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem publication-title: Inf. Sci. (Ny) – year: 2017 ident: b27 article-title: Two-archive method for aggregation-based many-objective optimization publication-title: Inf. Sci. (Ny). – volume: 27 start-page: 279 year: 2015 end-page: 298 ident: b65 article-title: Water cycle algorithm for solving constrained multi-objective optimization problems publication-title: Appl. Soft Comput. – start-page: 2696 year: 2003 ident: 10.1016/j.asoc.2018.11.032_b38 article-title: Differential evolution for multi-objective optimization – start-page: 292 year: 1998 ident: 10.1016/j.asoc.2018.11.032_b32 article-title: Multiobjective optimization using evolutionary algorithms—a comparative case study – year: 2017 ident: 10.1016/j.asoc.2018.11.032_b59 article-title: A novel physical based meta-heuristic optimization method known as lightning attachment procedure optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2017.06.033 – start-page: 66 year: 2009 ident: 10.1016/j.asoc.2018.11.032_b34 article-title: Smpso: A new pso-based metaheuristic for multi-objective optimization – volume: 30 start-page: 388 year: 2005 ident: 10.1016/j.asoc.2018.11.032_b67 article-title: Multiobjective structural optimization using a microgenetic algorithm publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-005-0527-z – volume: 17 start-page: B year: 1970 ident: 10.1016/j.asoc.2018.11.032_b10 article-title: Decision-making in a fuzzy environment publication-title: Manage. Sci. doi: 10.1287/mnsc.17.4.B141 – start-page: 1 year: 2015 ident: 10.1016/j.asoc.2018.11.032_b72 article-title: Distributed security constrained economic dispatch – volume: 23 start-page: 204 year: 2002 ident: 10.1016/j.asoc.2018.11.032_b68 article-title: Constraint handling improvements for multiobjective genetic algorithms publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-002-0178-2 – start-page: 849 year: 2000 ident: 10.1016/j.asoc.2018.11.032_b6 article-title: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II – year: 1999 ident: 10.1016/j.asoc.2018.11.032_b2 – volume: 46 start-page: 79 year: 2017 ident: 10.1016/j.asoc.2018.11.032_b1 article-title: Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems publication-title: Appl. Intell. doi: 10.1007/s10489-016-0825-8 – volume: 26 start-page: 369 year: 2004 ident: 10.1016/j.asoc.2018.11.032_b13 article-title: Survey of multi-objective optimization methods for engineering publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-003-0368-6 – volume: 29 start-page: 1 year: 1979 ident: 10.1016/j.asoc.2018.11.032_b15 article-title: A survey of multicriteria optimization or the vector maximum problem, part I: 1776–1960 publication-title: J. Optim. Theory Appl. doi: 10.1007/BF00932634 – volume: 7 start-page: 791 year: 2007 ident: 10.1016/j.asoc.2018.11.032_b58 article-title: Adaptive genetic algorithms applied to dynamic multiobjective problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2006.03.001 – start-page: 26 year: 2003 ident: 10.1016/j.asoc.2018.11.032_b35 article-title: Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) – volume: 28 start-page: 565 year: 2017 ident: 10.1016/j.asoc.2018.11.032_b56 article-title: Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach publication-title: Neural Comput. Appl. doi: 10.1007/s00521-015-2089-3 – volume: 55 start-page: 1159 year: 2011 ident: 10.1016/j.asoc.2018.11.032_b26 article-title: Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-010-3140-2 – start-page: 635 year: 2006 ident: 10.1016/j.asoc.2018.11.032_b18 article-title: Reference point based multi-objective optimization using evolutionary algorithms – volume: 41 start-page: 1227 year: 2009 ident: 10.1016/j.asoc.2018.11.032_b45 article-title: A novel hybrid multi-objective shuffled frog-leaping algorithm for a bi-criteria permutation flow shop scheduling problem publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-008-1558-6 – volume: 34 start-page: 141 year: 2002 ident: 10.1016/j.asoc.2018.11.032_b69 article-title: A swarm metaphor for multiobjective design optimization publication-title: Eng. Optim. doi: 10.1080/03052150210915 – volume: 11 start-page: 489 year: 2011 ident: 10.1016/j.asoc.2018.11.032_b48 article-title: Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2009.12.008 – year: 2007 ident: 10.1016/j.asoc.2018.11.032_b14 – volume: 16 start-page: 5805 year: 2016 ident: 10.1016/j.asoc.2018.11.032_b55 article-title: Generation of joint trajectories using hybrid automate-based model: A rocking block-based approach publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2016.2570281 – volume: 122 start-page: 70 year: 2017 ident: 10.1016/j.asoc.2018.11.032_b71 article-title: Multi-objective optimal power flow based on improved strength pareto evolutionary algorithm publication-title: Energy doi: 10.1016/j.energy.2017.01.071 – year: 2018 ident: 10.1016/j.asoc.2018.11.032_b24 – volume: 42 start-page: 21 year: 2014 ident: 10.1016/j.asoc.2018.11.032_b49 article-title: A comprehensive survey: artificial bee colony (ABC) algorithm and applications publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-012-9328-0 – volume: 1 start-page: 28 year: 2006 ident: 10.1016/j.asoc.2018.11.032_b20 article-title: Evolutionary multi-objective optimization: a historical view of the field publication-title: IEEE Comput. Intell. Mag. doi: 10.1109/MCI.2006.1597059 – year: 2018 ident: 10.1016/j.asoc.2018.11.032_b23 – start-page: 971 year: 2001 ident: 10.1016/j.asoc.2018.11.032_b39 article-title: PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems – volume: 36 start-page: 6420 year: 2011 ident: 10.1016/j.asoc.2018.11.032_b44 article-title: A modified shuffle frog leaping algorithm for multi-objective optimal power flow publication-title: Energy doi: 10.1016/j.energy.2011.09.027 – volume: 70 start-page: 181 year: 2015 ident: 10.1016/j.asoc.2018.11.032_b53 article-title: Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata publication-title: Robot. Auton. Syst. doi: 10.1016/j.robot.2015.02.009 – start-page: 1677 year: 2002 ident: 10.1016/j.asoc.2018.11.032_b5 article-title: Multiobjective optimization using dynamic neighborhood particle swarm optimization – volume: 8 start-page: 55301 year: 2016 ident: 10.1016/j.asoc.2018.11.032_b77 article-title: Optimal sizing and siting of dgs for loss reduction using an iterative-analytical method publication-title: J. Renew. Sustain. Energy doi: 10.1063/1.4966230 – volume: 10 start-page: 43 year: 1999 ident: 10.1016/j.asoc.2018.11.032_b62 article-title: Detection and remediation of stagnation in the Nelder–Mead algorithm using a sufficient decrease condition publication-title: SIAM J. Optim. doi: 10.1137/S1052623497315203 – start-page: 416 year: 1993 ident: 10.1016/j.asoc.2018.11.032_b30 article-title: Genetic algorithms for multiobjective optimization: formulationdiscussion and generalization – start-page: 1145 year: 2002 ident: 10.1016/j.asoc.2018.11.032_b40 article-title: Multiobjective optimization using a Pareto differential evolution approach – volume: 22 start-page: 874 year: 2014 ident: 10.1016/j.asoc.2018.11.032_b70 article-title: Shuffled frog leaping algorithm optimization for AC–DC optimal power flow dispatch publication-title: Turkish J. Electr. Eng. Comput. Sci. doi: 10.3906/elk-1205-80 – start-page: 505 year: 2005 ident: 10.1016/j.asoc.2018.11.032_b33 article-title: Improving pso-based multi-objective optimization using crowding, mutation and e-dominance – volume: 1 start-page: 67 year: 1997 ident: 10.1016/j.asoc.2018.11.032_b28 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.585893 – year: 2001 ident: 10.1016/j.asoc.2018.11.032_b16 – ident: 10.1016/j.asoc.2018.11.032_b22 – volume: 2 start-page: 221 year: 1994 ident: 10.1016/j.asoc.2018.11.032_b19 article-title: Muiltiobjective optimization using nondominated sorting in genetic algorithms publication-title: Evol. Comput. doi: 10.1162/evco.1994.2.3.221 – volume: 26 start-page: 1291 year: 2013 ident: 10.1016/j.asoc.2018.11.032_b42 article-title: Multi-objective optimization using teaching-learning-based optimization algorithm publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2012.11.006 – start-page: 84 year: 2005 ident: 10.1016/j.asoc.2018.11.032_b17 article-title: Pareto multi objective optimization – start-page: 461 year: 2005 ident: 10.1016/j.asoc.2018.11.032_b25 article-title: Integrating user preferences into evolutionary multi-objective optimization – volume: 23 start-page: 1340 year: 2010 ident: 10.1016/j.asoc.2018.11.032_b46 article-title: A hybrid self-adaptive particle swarm optimization and modified shuffled frog leaping algorithm for distribution feeder reconfiguration publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2010.02.005 – year: 1989 ident: 10.1016/j.asoc.2018.11.032_b29 – year: 2017 ident: 10.1016/j.asoc.2018.11.032_b73 article-title: An online learning algorithm for demand response in smart grid publication-title: IEEE Trans. Smart Grid – volume: 65 start-page: 65 year: 2015 ident: 10.1016/j.asoc.2018.11.032_b52 article-title: Biometric gait identification based on a multilayer perceptron publication-title: Robot. Auton. Syst. doi: 10.1016/j.robot.2014.11.010 – start-page: 82 year: 1994 ident: 10.1016/j.asoc.2018.11.032_b31 article-title: A niched pareto genetic algorithm for multiobjective optimization – volume: 181 start-page: 2455 year: 2011 ident: 10.1016/j.asoc.2018.11.032_b51 article-title: A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2009.12.025 – volume: 53 start-page: 642 year: 2007 ident: 10.1016/j.asoc.2018.11.032_b43 article-title: A hybrid multi-objective shuffled frog-leaping algorithm for a mixed-model assembly line sequencing problem publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2007.06.007 – volume: 47 start-page: 106 year: 2016 ident: 10.1016/j.asoc.2018.11.032_b4 article-title: Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2015.10.039 – volume: 32 start-page: 499 year: 2001 ident: 10.1016/j.asoc.2018.11.032_b8 article-title: Guidance in evolutionary multi-objective optimization publication-title: Adv. Eng. Softw. doi: 10.1016/S0965-9978(00)00110-1 – year: 1998 ident: 10.1016/j.asoc.2018.11.032_b61 – start-page: 603 year: 2002 ident: 10.1016/j.asoc.2018.11.032_b36 article-title: Particle swarm optimization method in multiobjective problems – volume: 27 start-page: 1053 year: 2016 ident: 10.1016/j.asoc.2018.11.032_b66 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 – start-page: 1 year: 2016 ident: 10.1016/j.asoc.2018.11.032_b54 article-title: An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification publication-title: Multimedia Tools Appl. – volume: 237 start-page: 82 year: 2013 ident: 10.1016/j.asoc.2018.11.032_b3 article-title: A survey on optimization metaheuristics publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2013.02.041 – ident: 10.1016/j.asoc.2018.11.032_b21 – volume: 300 start-page: 158 year: 2015 ident: 10.1016/j.asoc.2018.11.032_b64 article-title: Novel frameworks for creating robust multi-objective benchmark problems publication-title: Inf. Sci. (Ny) doi: 10.1016/j.ins.2014.12.037 – volume: 1 start-page: 129 year: 1999 ident: 10.1016/j.asoc.2018.11.032_b12 article-title: A comprehensive survey of evolutionary-based multiobjective optimization techniques publication-title: Knowl. Inf. Syst. – volume: 2 start-page: 39 year: 2012 ident: 10.1016/j.asoc.2018.11.032_b50 article-title: A multi-objective artificial bee colony algorithm publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.08.001 – volume: 9 start-page: 65504 year: 2017 ident: 10.1016/j.asoc.2018.11.032_b57 article-title: Intelligent control of power sharing between parallel-connected boost converters in micro-girds publication-title: J. Renew. Sustain. Energy doi: 10.1063/1.5011156 – volume: 8 start-page: 173 year: 2000 ident: 10.1016/j.asoc.2018.11.032_b63 article-title: Comparison of multiobjective evolutionary algorithms: Empirical results publication-title: Evol. Comput. doi: 10.1162/106365600568202 – year: 2006 ident: 10.1016/j.asoc.2018.11.032_b37 – volume: 10 start-page: 43312 year: 2018 ident: 10.1016/j.asoc.2018.11.032_b76 article-title: A new evolutionary-analytical two-step optimization method for optimal wind turbine allocation considering maximum capacity publication-title: J. Renew. Sustain. Energy doi: 10.1063/1.5043403 – volume: 30 start-page: 525 year: 2008 ident: 10.1016/j.asoc.2018.11.032_b9 article-title: Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2008.04.005 – volume: 1 start-page: 32 year: 2011 ident: 10.1016/j.asoc.2018.11.032_b7 article-title: Multiobjective evolutionary algorithms: A survey of the state of the art publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.03.001 – year: 2017 ident: 10.1016/j.asoc.2018.11.032_b60 article-title: LPM-based shielding performance analysis of high-voltage substations against direct lightning strokes publication-title: IEEE Trans. Power Deliv doi: 10.1109/TPWRD.2016.2616518 – year: 1999 ident: 10.1016/j.asoc.2018.11.032_b11 – volume: 27 start-page: 279 year: 2015 ident: 10.1016/j.asoc.2018.11.032_b65 article-title: Water cycle algorithm for solving constrained multi-objective optimization problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.10.042 – year: 2018 ident: 10.1016/j.asoc.2018.11.032_b74 article-title: Diagonal quadratic approximation for decentralized collaborative TSO+ DSO optimal power flow publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2018.2796034 – year: 2018 ident: 10.1016/j.asoc.2018.11.032_b75 article-title: Optimizing configuration of cyber network considering graph theory structure and teaching-learning-based optimization (GT-TLBO) publication-title: IEEE Trans. Ind. Informatics – start-page: 861 year: 2004 ident: 10.1016/j.asoc.2018.11.032_b41 article-title: Solving rotated multi-objective optimization problems using differential evolution – year: 2017 ident: 10.1016/j.asoc.2018.11.032_b27 article-title: Two-archive method for aggregation-based many-objective optimization publication-title: Inf. Sci. (Ny). – volume: 218 start-page: 9353 year: 2012 ident: 10.1016/j.asoc.2018.11.032_b47 article-title: An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2012.03.018 |
| SSID | ssj0016928 |
| Score | 2.433464 |
| Snippet | In this paper, a novel multi-objective optimization method based on a recently introduced algorithm known as Lightning Attachment Procedure Optimization (LAPO)... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 404 |
| SubjectTerms | Benchmark problem Evolutionary multi-objective optimization Lightning Attachment Procedure Optimization Meta-heuristic Multi objective optimization method Non-dominated sorting Pareto optimal solutions |
| Title | A novel multi-objective optimization algorithm based on Lightning Attachment Procedure Optimization algorithm |
| URI | https://dx.doi.org/10.1016/j.asoc.2018.11.032 |
| Volume | 75 |
| WOSCitedRecordID | wos000454941500030&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/eLvHCXMwtV3da9swEBeh3cNe9j3WrR162JtxmD8kS49e6ehGaQfrSt6MJctLQmKX1A39J_Y_786SHbcNZRvsxQTZ54i7n0930n0Q8sEkWkRKAXjLsvBjLgJfMqP9uGCx4mAhqDaq8uIkOT0Vk4n8Nhr96nJh1oukqsTNjbz8r6KGMRA2ps7-hbj7l8IA_AahwxXEDtc_EnzqVfXaLGyooF-ruVVpXg3KYemyLr188bNezZrp0sNlrMAjgxN00-0uSdPketpGCbR5BAUeMpxtJR_atp1BewWavQ1Vv266ddG2AcGGQDNQq2AkI_radsJeOt4cNU2xxZiZW9RtblzAjaJ9-NN4uEuBiVG3Ij7up89YbcuFH0u3B2nsmEhCX3Lbx6VT0Qkb6NjY9it2y3VsSwvcWwnspsR8nAPIMYJPjLFYq9tLvV1h-zvOA6cB6g0sMCyDsBsmTIKS3E2_HE2-9sdSXLbNevt5uywsGzB495-2WzoD6-X8GXni3A6aWrg8JyNTvSBPu5Ye1Gn4l2SZ0hY99A566BA9tBc_bdFDYahHD92gh_booWdbyV-RH5-Pzg-PfdeRw9dRLBq_VAWeq-bcCPAUwPYs89AEXAjGhIkTpSNjGFb01yqMTAmuQ6Gl1gHPpRKa6eg12anqyrwhNIgYL8ooKoCPMWOhhKUXXJU8KrVRHxO-R4KOe5l25eqxa8oi6-IS5xlyPEOOgx-bAcf3iNfTXNpiLQ8-zTqhZM7ctGZkBhh6gO7tP9K9I483X8Y-2WlW1-aAPNLrZna1eu-g9hsdb6hy |
| 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+novel+multi-objective+optimization+algorithm+based+on+Lightning+Attachment+Procedure+Optimization+algorithm&rft.jtitle=Applied+soft+computing&rft.au=Foroughi+Nematollahi%2C+A.&rft.au=Rahiminejad%2C+A.&rft.au=Vahidi%2C+B.&rft.date=2019-02-01&rft.pub=Elsevier+B.V&rft.issn=1568-4946&rft.eissn=1872-9681&rft.volume=75&rft.spage=404&rft.epage=427&rft_id=info:doi/10.1016%2Fj.asoc.2018.11.032&rft.externalDocID=S1568494618306641 |
| 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 |