A Symbiotic Organisms Search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems
[Display omitted] •Proposed a new multi-objective Symbiotic Organisms Search algorithm.•Performance is validated on 12 unconstrained and 6 constrained problems.•The real life applications are demonstrated on constrained truss design problems. Many real world engineering optimization problems are mul...
Uloženo v:
| Vydáno v: | Applied soft computing Ročník 46; s. 344 - 360 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier B.V
01.09.2016
|
| Témata: | |
| 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 | [Display omitted]
•Proposed a new multi-objective Symbiotic Organisms Search algorithm.•Performance is validated on 12 unconstrained and 6 constrained problems.•The real life applications are demonstrated on constrained truss design problems.
Many real world engineering optimization problems are multi-modal and associated with constrains. The multi-modal problems involve presence of local optima and thus conventional derivative based algorithms do not able to effectively determine the global optimum. The complexity of the problem increases when there is requirement to simultaneously optimize two or more objective functions each of which associated with certain constrains. Recently in 2014, Cheng and Prayogo proposed a new metaheuristic optimization algorithm known as Symbiotic Organisms Search (SOS). The algorithm is inspired by the interaction strategies adopted by the living organisms to survive and propagate in the ecosystem. The concept aims to achieve optimal survivability in the ecosystem by considering the harm and benefits received from other organisms. In this manuscript the SOS algorithm is formulated to solve multi-objective problems (termed as MOSOS). The MOSOS is combined with adaptive penalty function to handle equality and inequality constrains associated with problems. Extensive simulation studies are carried out on twelve unconstrained and six constrained benchmark multi-objective functions. The obtained results over fifty independent runs reveal the superior performance of the proposed algorithm over multi-objective colliding bodies optimization (MOCBO), multi-objective particle swarm optimization (MOPSO), non-dominated sorting genetic algorithm II (NSGA-II) and two gradient based multi-objective algorithms Multi-Gradient Explorer (MGE) and Multi-Gradient Pathfinder (MGP). The engineering applications of the proposed algorithm are demonstrated by solving two constrained truss design problems. |
|---|---|
| AbstractList | [Display omitted]
•Proposed a new multi-objective Symbiotic Organisms Search algorithm.•Performance is validated on 12 unconstrained and 6 constrained problems.•The real life applications are demonstrated on constrained truss design problems.
Many real world engineering optimization problems are multi-modal and associated with constrains. The multi-modal problems involve presence of local optima and thus conventional derivative based algorithms do not able to effectively determine the global optimum. The complexity of the problem increases when there is requirement to simultaneously optimize two or more objective functions each of which associated with certain constrains. Recently in 2014, Cheng and Prayogo proposed a new metaheuristic optimization algorithm known as Symbiotic Organisms Search (SOS). The algorithm is inspired by the interaction strategies adopted by the living organisms to survive and propagate in the ecosystem. The concept aims to achieve optimal survivability in the ecosystem by considering the harm and benefits received from other organisms. In this manuscript the SOS algorithm is formulated to solve multi-objective problems (termed as MOSOS). The MOSOS is combined with adaptive penalty function to handle equality and inequality constrains associated with problems. Extensive simulation studies are carried out on twelve unconstrained and six constrained benchmark multi-objective functions. The obtained results over fifty independent runs reveal the superior performance of the proposed algorithm over multi-objective colliding bodies optimization (MOCBO), multi-objective particle swarm optimization (MOPSO), non-dominated sorting genetic algorithm II (NSGA-II) and two gradient based multi-objective algorithms Multi-Gradient Explorer (MGE) and Multi-Gradient Pathfinder (MGP). The engineering applications of the proposed algorithm are demonstrated by solving two constrained truss design problems. |
| Author | Panda, Arnapurna Pani, Sabyasachi |
| Author_xml | – sequence: 1 givenname: Arnapurna surname: Panda fullname: Panda, Arnapurna email: arnapurna.math@gmail.com – sequence: 2 givenname: Sabyasachi surname: Pani fullname: Pani, Sabyasachi |
| BookMark | eNp9kL1qwzAQgEVJoUnaF-ikF7Ar27ItQZcQ-geBDGlnIclyImNLQVJS0qmPXjnt1CHL3cHdd9x9MzAx1igA7jOUZiirHrqUeyvTPNYpwikq0BWYZqTOE1qRbBLrsiIJpri6ATPvOxQHaU6m4HsBN6dBaBu0hGu35Ub7wcON4k7uIO-31umwG-BnjJA3fB_0UcG9MrwPJ9gejAzaGhgs9LaPneHQB51Y0Sl5npTW-OC4NqqBNsKD_uJnYu-s6NXgb8F1y3uv7v7yHHw8P70vX5PV-uVtuVglskAoJDTPsKQqq6oSkUaIIhclRbXguM1rWYiWSlxKInApCkxw2xBMpWgLhfMaU1EUc0B-90pnvXeqZVKH8ynjeT3LEBtNso6NJtlokiHMosmI5v_QvdMDd6fL0OMvpOJTR60c81IrI1WjXXTDGqsv4T-P-5NO |
| CitedBy_id | crossref_primary_10_1016_j_egyr_2021_09_168 crossref_primary_10_1016_j_matcom_2023_12_003 crossref_primary_10_1109_JIOT_2023_3307769 crossref_primary_10_1016_j_procs_2019_05_030 crossref_primary_10_1007_s10489_022_03421_7 crossref_primary_10_1007_s12597_024_00873_y crossref_primary_10_1007_s00500_018_3273_z crossref_primary_10_1016_j_cie_2019_106040 crossref_primary_10_1016_j_asoc_2025_113788 crossref_primary_10_1016_j_asoc_2024_111800 crossref_primary_10_3390_app122413019 crossref_primary_10_1109_TMC_2023_3344645 crossref_primary_10_4018_IJSIR_2020040103 crossref_primary_10_1016_j_asoc_2020_106722 crossref_primary_10_1007_s10115_018_1158_1 crossref_primary_10_1016_j_knosys_2021_107779 crossref_primary_10_1016_j_knosys_2021_107933 crossref_primary_10_1371_journal_pone_0272861 crossref_primary_10_1016_j_asoc_2021_107439 crossref_primary_10_1016_j_matcom_2022_08_017 crossref_primary_10_1016_j_neucom_2019_06_112 crossref_primary_10_1007_s00500_019_04234_6 crossref_primary_10_1016_j_knosys_2021_107131 crossref_primary_10_1016_j_pnucene_2025_105613 crossref_primary_10_3390_app8112155 crossref_primary_10_3233_JIFS_191130 crossref_primary_10_3390_biomimetics8020136 crossref_primary_10_1016_j_procs_2017_09_100 crossref_primary_10_1016_j_cryogenics_2019_102976 crossref_primary_10_1016_j_asoc_2022_109287 crossref_primary_10_1007_s12065_021_00649_z crossref_primary_10_1016_j_ifacol_2021_04_122 crossref_primary_10_1109_TASE_2019_2892480 crossref_primary_10_1051_matecconf_201820306006 crossref_primary_10_1108_IJICC_10_2018_0145 crossref_primary_10_3390_s19030734 crossref_primary_10_1007_s40430_016_0661_0 crossref_primary_10_1016_j_asoc_2021_107650 crossref_primary_10_1016_j_asoc_2019_01_043 crossref_primary_10_1109_JIOT_2025_3529185 crossref_primary_10_1007_s00366_019_00846_6 crossref_primary_10_1080_15732479_2018_1547767 crossref_primary_10_1049_iet_cds_2017_0162 crossref_primary_10_1016_j_asoc_2020_106321 crossref_primary_10_1007_s00521_019_04170_4 crossref_primary_10_1155_2018_6490169 crossref_primary_10_1016_j_asoc_2017_08_002 crossref_primary_10_1007_s12065_021_00650_6 crossref_primary_10_1007_s00366_020_01010_1 crossref_primary_10_1109_ACCESS_2020_3047936 crossref_primary_10_1007_s00500_017_2597_4 crossref_primary_10_1016_j_asoc_2017_02_032 crossref_primary_10_1108_EC_03_2020_0140 crossref_primary_10_1016_j_ijleo_2022_169692 crossref_primary_10_1016_j_swevo_2025_101989 crossref_primary_10_1109_JIOT_2020_3024223 crossref_primary_10_3846_jcem_2019_9681 crossref_primary_10_1007_s10489_020_02174_5 crossref_primary_10_1016_j_eswa_2019_01_068 crossref_primary_10_1016_j_eswa_2024_123896 crossref_primary_10_1155_2018_9751783 crossref_primary_10_1016_j_oceaneng_2018_04_092 crossref_primary_10_1016_j_eswa_2021_115747 crossref_primary_10_1155_2020_1615792 crossref_primary_10_1108_IJPCC_07_2019_0053 crossref_primary_10_1177_13694332211026219 crossref_primary_10_1080_15397734_2024_2381138 crossref_primary_10_1007_s12652_021_03632_9 crossref_primary_10_1016_j_compositesb_2018_09_087 crossref_primary_10_1155_2021_8822765 crossref_primary_10_1007_s12293_021_00349_2 crossref_primary_10_1007_s00366_018_0662_y crossref_primary_10_1109_TMAG_2017_2665350 crossref_primary_10_1108_EC_01_2017_0024 crossref_primary_10_1007_s11831_021_09701_8 crossref_primary_10_1093_jcde_qwab065 crossref_primary_10_3390_app8040538 crossref_primary_10_1016_j_jnca_2019_02_005 crossref_primary_10_1007_s00521_023_08332_3 crossref_primary_10_1007_s10462_019_09733_4 crossref_primary_10_1016_j_asoc_2019_03_042 crossref_primary_10_1016_j_engappai_2018_04_018 crossref_primary_10_3390_en15041445 crossref_primary_10_1155_2016_9063065 crossref_primary_10_1109_TCYB_2020_2998038 crossref_primary_10_1016_j_eswa_2018_10_045 crossref_primary_10_1016_j_asoc_2024_112128 crossref_primary_10_1007_s10489_017_1126_6 crossref_primary_10_1016_j_knosys_2018_08_005 crossref_primary_10_1016_j_knosys_2022_110112 crossref_primary_10_3233_JIFS_169988 crossref_primary_10_1007_s00521_018_3426_0 crossref_primary_10_1007_s40996_020_00471_0 crossref_primary_10_1088_1757_899X_793_1_012029 crossref_primary_10_1109_ACCESS_2020_3042617 crossref_primary_10_1016_j_jcde_2017_11_008 crossref_primary_10_32604_cmc_2021_014674 crossref_primary_10_1007_s00521_021_05805_1 crossref_primary_10_1109_ACCESS_2021_3066323 crossref_primary_10_1155_2023_1921584 crossref_primary_10_1007_s11063_017_9711_6 crossref_primary_10_1080_15623599_2025_2529519 crossref_primary_10_1016_j_asoc_2022_108742 crossref_primary_10_1007_s00500_023_09314_2 crossref_primary_10_1016_j_asoc_2019_105577 crossref_primary_10_1007_s00500_017_2693_5 crossref_primary_10_3233_JIFS_190546 crossref_primary_10_1002_cpe_7558 crossref_primary_10_1109_ACCESS_2020_3008278 crossref_primary_10_1007_s11042_023_14510_1 crossref_primary_10_1109_TEVC_2021_3089155 crossref_primary_10_1007_s11465_020_0613_3 crossref_primary_10_1016_j_inffus_2021_07_017 crossref_primary_10_3390_s22041674 crossref_primary_10_1016_j_eswa_2021_114981 crossref_primary_10_1016_j_knosys_2017_07_018 crossref_primary_10_1016_j_swevo_2020_100791 crossref_primary_10_1016_j_swevo_2021_101020 crossref_primary_10_1155_2021_6619485 |
| Cites_doi | 10.1162/evco.1994.2.3.221 10.1109/TEVC.2006.872344 10.1016/S0020-0255(03)00177-4 10.1016/j.amc.2014.03.110 10.1016/j.eswa.2011.08.157 10.1109/TEVC.2013.2281534 10.1016/j.swevo.2011.08.001 10.1007/s10710-005-6164-x 10.1016/j.patcog.2006.03.003 10.3390/mca10010045 10.1016/j.matcom.2013.05.004 10.1016/S0045-7825(99)00389-8 10.1109/TEVC.2004.826067 10.1016/j.asoc.2014.10.042 10.1016/j.swevo.2013.11.003 10.1016/S0045-7825(01)00323-1 10.1016/j.apm.2011.09.077 10.1016/j.swevo.2011.03.001 10.1016/j.ins.2011.04.004 10.1109/TEVC.2013.2281535 10.1016/j.amc.2014.08.010 10.1016/j.compstruc.2014.03.007 10.1016/j.apm.2010.08.003 10.1016/S0378-4754(02)00028-9 10.1109/TEVC.2007.900837 10.1016/j.engappai.2012.11.008 10.1016/j.apm.2012.03.043 10.1109/TCBB.2007.070203 10.1109/TEVC.2005.861417 10.1109/3468.650319 10.1109/TEVC.2008.2009032 10.1016/j.swevo.2012.07.001 10.1109/TEVC.2003.817236 10.1016/j.cor.2011.09.026 10.1007/s11721-008-0022-4 10.1142/S0218001415590016 10.1109/MCI.2006.1597059 10.1016/j.apm.2013.07.038 10.1016/j.matcom.2007.04.002 10.1162/106365600568202 10.1016/j.neucom.2012.01.044 10.1016/j.amc.2007.09.070 10.1177/003754979406200405 10.1142/S0218001415590090 10.1016/j.amc.2012.03.018 10.1109/4235.996017 10.1080/03052159908941390 10.1016/0307-904X(94)90307-7 10.1080/03052150108940926 10.1016/j.advengsoft.2011.05.014 |
| ContentType | Journal Article |
| Copyright | 2016 Elsevier B.V. |
| Copyright_xml | – notice: 2016 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.asoc.2016.04.030 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-9681 |
| EndPage | 360 |
| ExternalDocumentID | 10_1016_j_asoc_2016_04_030 S1568494616301788 |
| 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-c300t-9214c9e166508dbb32b5907ba4f27c3bf9c45c8b45b3484fd849cbf3e42749b33 |
| ISICitedReferencesCount | 133 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000377999900026&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 03:05:29 EST 2025 Tue Nov 18 21:24:00 EST 2025 Fri Feb 23 02:24:49 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Adaptive penalty function MOPSO Truss design problem NSGA-II Symbiotic organisms search Constrained optimization |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c300t-9214c9e166508dbb32b5907ba4f27c3bf9c45c8b45b3484fd849cbf3e42749b33 |
| PageCount | 17 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_asoc_2016_04_030 crossref_primary_10_1016_j_asoc_2016_04_030 elsevier_sciencedirect_doi_10_1016_j_asoc_2016_04_030 |
| PublicationCentury | 2000 |
| PublicationDate | September 2016 2016-09-00 |
| PublicationDateYYYYMMDD | 2016-09-01 |
| PublicationDate_xml | – month: 09 year: 2016 text: September 2016 |
| PublicationDecade | 2010 |
| PublicationTitle | Applied soft computing |
| PublicationYear | 2016 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Pradhan, Baghel, Panda, Bernard (bib0065) 2009 Cheng, Prayogo (bib0255) 2014; 139 (bib0335) 2016 Nosoohi, Hejazi (bib0035) 2011; 35 Coello Coello, Pulido, Lechuga (bib0125) 2004; 8 Huband, Hingston, Barone, While (bib0305) 2006; 10 Zhou, Qu, Li, Zhao, Suganthan, Zhang (bib0200) 2011; 1 Snyman, Stander, Roux (bib0230) 1994; 18 Sadollah, Eskandar, Kim (bib0320) 2015; 27 Coello Coello, Lechuga (bib0120) 2002 Yeniay (bib0235) 2005; 10 Prayogo (bib0260) 2015 Ouyang, Li, Fei, Zhou, Duan (bib0185) 2015; 29 Ray, Tai, Seow (bib0295) 2001; 33 Coello Coello (bib0210) 2002; 191 Barbosa, Lemonge (bib0330) 2003; 156 Baghel, Panda, Srihari, Rajarajeswari, Majhi (bib0075) 2009 Homaifar, Lai, Qi (bib0225) 1994; 62 Nanda, Panda (bib0155) 2012 Coello Coello (bib0195) 2006; 1 Panda, Pani (bib0285) 2015 Garcia, Coello Coello, Arias-Montano (bib0135) 2014 Dhaker, Martinez, Champenois (bib0060) 2014; 98 Yang, Deb (bib0180) 2013; 40 Laabidi, Bouani, Ksouri (bib0050) 2008; 76 Florios, Mavrotas (bib0030) 2014; 237 Srinivas, Deb (bib0100) 1994; 2 Coello Coello, Van Veldhuizen, Lamont (bib0275) 2002; vol. 242 Fonseca, Fleming (bib0220) 1998; 28 Pradhan, Panda (bib0070) 2012; 7 Rao, Patel (bib0040) 2013; 37 Deb (bib0205) 2000; 186 Zilinskas, Varoneckas (bib0010) 2015; 255 Chaharsooghi, Meimand Kermani (bib0015) 2008; 200 Robic, Filipic (bib0145) 2005 Handl, Julia, Kell, Knowles (bib0095) 2007; 4 Barbosa, Lemonge (bib0325) 2002 Durillo, Nebro (bib0315) 2011; 42 Deb, Jain (bib0110) 2014; 18 Kitsios, Pimenides (bib0055) 2002; 60 Cheng, Li (bib0290) 1999; 31 Woldesenbet, Yen, Tessema (bib0250) 2009; 13 Pradhan, Panda (bib0175) 2012; 39 Farmani, Wright (bib0240) 2003; 7 Niu, Wang, Wang, Tan (bib0165) 2013; 116 Mitra, Banka (bib0090) 2006; 39 Deb, Pratap, Agarwal, Meyarivan (bib0105) 2002; 6 Chen, Zou, Xie (bib0340) 2011; 181 Deb, Thiele, Laumanns, Zitzler (bib0005) 2005 Nanda, Panda (bib0080) 2014; 16 Cai, Wang (bib0245) 2006; 10 Akbari, Hedayatzadeh, Ziarati, Hassanizadeh (bib0170) 2012; 2 Deb (bib0270) 2001 Hu, Tian, Guo, Ouyang (bib0190) 2015; 29 Van Veldhuizen, Lamont (bib0280) 2000 Reyes-Sierra, Coello Coello (bib0130) 2006; 2 Angus, Woodward (bib0160) 2009; 3 Li, Pan, Tasgetiren (bib0025) 2014; 38 Abdullahi, Ngadi (bib0265) 2015 Li, Pan, Xie (bib0020) 2012; 218 Cioffi, Gallerano (bib0045) 2012; 36 Bandyopadhyay, Saha, Maulik, Deb (bib0140) 2008; 12 Nanda, Panda (bib0085) 2013; 26 Michalewicz (bib0215) 1995; 4 Sevastyanov (bib0310) 2010 Jain, Deb (bib0115) 2014; 18 Zitzler, Deb, Thiele (bib0300) 2000; 8 Coello Coello, Cruz Cortes (bib0150) 2005; 6 Ray (10.1016/j.asoc.2016.04.030_bib0295) 2001; 33 Coello Coello (10.1016/j.asoc.2016.04.030_bib0275) 2002; vol. 242 Abdullahi (10.1016/j.asoc.2016.04.030_bib0265) 2015 Chaharsooghi (10.1016/j.asoc.2016.04.030_bib0015) 2008; 200 Florios (10.1016/j.asoc.2016.04.030_bib0030) 2014; 237 Pradhan (10.1016/j.asoc.2016.04.030_bib0070) 2012; 7 Handl (10.1016/j.asoc.2016.04.030_bib0095) 2007; 4 Huband (10.1016/j.asoc.2016.04.030_bib0305) 2006; 10 Baghel (10.1016/j.asoc.2016.04.030_bib0075) 2009 Hu (10.1016/j.asoc.2016.04.030_bib0190) 2015; 29 Garcia (10.1016/j.asoc.2016.04.030_bib0135) 2014 Durillo (10.1016/j.asoc.2016.04.030_bib0315) 2011; 42 Panda (10.1016/j.asoc.2016.04.030_bib0285) 2015 Ouyang (10.1016/j.asoc.2016.04.030_bib0185) 2015; 29 Nanda (10.1016/j.asoc.2016.04.030_bib0085) 2013; 26 Deb (10.1016/j.asoc.2016.04.030_bib0205) 2000; 186 Snyman (10.1016/j.asoc.2016.04.030_bib0230) 1994; 18 Cioffi (10.1016/j.asoc.2016.04.030_bib0045) 2012; 36 Nanda (10.1016/j.asoc.2016.04.030_bib0080) 2014; 16 Chen (10.1016/j.asoc.2016.04.030_bib0340) 2011; 181 Homaifar (10.1016/j.asoc.2016.04.030_bib0225) 1994; 62 Mitra (10.1016/j.asoc.2016.04.030_bib0090) 2006; 39 Coello Coello (10.1016/j.asoc.2016.04.030_bib0150) 2005; 6 Cheng (10.1016/j.asoc.2016.04.030_bib0290) 1999; 31 Cheng (10.1016/j.asoc.2016.04.030_bib0255) 2014; 139 Farmani (10.1016/j.asoc.2016.04.030_bib0240) 2003; 7 Angus (10.1016/j.asoc.2016.04.030_bib0160) 2009; 3 Woldesenbet (10.1016/j.asoc.2016.04.030_bib0250) 2009; 13 Kitsios (10.1016/j.asoc.2016.04.030_bib0055) 2002; 60 Pradhan (10.1016/j.asoc.2016.04.030_bib0065) 2009 Coello Coello (10.1016/j.asoc.2016.04.030_bib0195) 2006; 1 Cai (10.1016/j.asoc.2016.04.030_bib0245) 2006; 10 Sadollah (10.1016/j.asoc.2016.04.030_bib0320) 2015; 27 Coello Coello (10.1016/j.asoc.2016.04.030_bib0120) 2002 Dhaker (10.1016/j.asoc.2016.04.030_bib0060) 2014; 98 Reyes-Sierra (10.1016/j.asoc.2016.04.030_bib0130) 2006; 2 Nanda (10.1016/j.asoc.2016.04.030_bib0155) 2012 Sevastyanov (10.1016/j.asoc.2016.04.030_bib0310) 2010 Yang (10.1016/j.asoc.2016.04.030_bib0180) 2013; 40 Prayogo (10.1016/j.asoc.2016.04.030_bib0260) 2015 Laabidi (10.1016/j.asoc.2016.04.030_bib0050) 2008; 76 Fonseca (10.1016/j.asoc.2016.04.030_bib0220) 1998; 28 Barbosa (10.1016/j.asoc.2016.04.030_bib0330) 2003; 156 Niu (10.1016/j.asoc.2016.04.030_bib0165) 2013; 116 Zilinskas (10.1016/j.asoc.2016.04.030_bib0010) 2015; 255 Nosoohi (10.1016/j.asoc.2016.04.030_bib0035) 2011; 35 Zitzler (10.1016/j.asoc.2016.04.030_bib0300) 2000; 8 Li (10.1016/j.asoc.2016.04.030_bib0020) 2012; 218 Li (10.1016/j.asoc.2016.04.030_bib0025) 2014; 38 Zhou (10.1016/j.asoc.2016.04.030_bib0200) 2011; 1 Deb (10.1016/j.asoc.2016.04.030_bib0105) 2002; 6 Deb (10.1016/j.asoc.2016.04.030_bib0110) 2014; 18 Robic (10.1016/j.asoc.2016.04.030_bib0145) 2005 Pradhan (10.1016/j.asoc.2016.04.030_bib0175) 2012; 39 Rao (10.1016/j.asoc.2016.04.030_bib0040) 2013; 37 Coello Coello (10.1016/j.asoc.2016.04.030_bib0210) 2002; 191 Barbosa (10.1016/j.asoc.2016.04.030_bib0325) 2002 Jain (10.1016/j.asoc.2016.04.030_bib0115) 2014; 18 Yeniay (10.1016/j.asoc.2016.04.030_bib0235) 2005; 10 Bandyopadhyay (10.1016/j.asoc.2016.04.030_bib0140) 2008; 12 Coello Coello (10.1016/j.asoc.2016.04.030_bib0125) 2004; 8 Deb (10.1016/j.asoc.2016.04.030_bib0005) 2005 Van Veldhuizen (10.1016/j.asoc.2016.04.030_bib0280) 2000 Michalewicz (10.1016/j.asoc.2016.04.030_bib0215) 1995; 4 (10.1016/j.asoc.2016.04.030_bib0335) 2016 Deb (10.1016/j.asoc.2016.04.030_bib0270) 2001 Srinivas (10.1016/j.asoc.2016.04.030_bib0100) 1994; 2 Akbari (10.1016/j.asoc.2016.04.030_bib0170) 2012; 2 |
| References_xml | – volume: 181 start-page: 3336 year: 2011 end-page: 3355 ident: bib0340 article-title: Convergence of multi-objective evolutionary algorithms to a uniformly distributed representation of the Pareto front publication-title: Inf. Sci. – volume: 255 start-page: 105 year: 2015 end-page: 113 ident: bib0010 article-title: On multi-objective optimization aided drawing of special graphs publication-title: Appl. Math. Comput. – volume: 8 start-page: 256 year: 2004 end-page: 279 ident: bib0125 article-title: Handling multiple objectives with particle swarm optimization publication-title: IEEE Trans. Evol. Comput. – volume: 16 start-page: 1 year: 2014 end-page: 18 ident: bib0080 article-title: A survey on nature inspired metaheuristic algorithms for partitional clustering publication-title: Swarm Evol. Comput. – volume: 7 start-page: 445 year: 2003 end-page: 455 ident: bib0240 article-title: Self-adaptive fitness formulation for constrained optimization publication-title: IEEE Trans. Evol. Comput. – year: 2001 ident: bib0270 article-title: Multi-objective Optimization Using Evolutionary Algorithms – volume: 40 start-page: 1616 year: 2013 end-page: 1624 ident: bib0180 article-title: Multiobjective cuckoo search for design optimization publication-title: Comput. Oper. Res. – volume: 18 start-page: 577 year: 2014 end-page: 601 ident: bib0110 article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: solving problems with box constraints publication-title: IEEE Trans. Evol. Comput. – volume: 218 start-page: 9353 year: 2012 end-page: 9371 ident: bib0020 article-title: An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems publication-title: Appl. Math. Comput. – volume: 2 start-page: 39 year: 2012 end-page: 52 ident: bib0170 article-title: A multi-objective artificial bee colony algorithm publication-title: Swarm Evol. Comput. – volume: 200 start-page: 167 year: 2008 end-page: 177 ident: bib0015 article-title: An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP) publication-title: Appl. Math. Comput. – volume: 4 start-page: 135 year: 1995 end-page: 155 ident: bib0215 article-title: A survey of constraint handling techniques in evolutionary computation methods publication-title: Evol. Program. – start-page: 9092 year: 2010 end-page: 10011 ident: bib0310 article-title: Gradient-based multi-objective optimization technology publication-title: 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference – volume: 36 start-page: 2868 year: 2012 end-page: 2889 ident: bib0045 article-title: Multi-objective analysis of dam release flows in rivers downstream from hydropower reservoirs publication-title: Appl. Math. Model. – volume: 7 start-page: 7 year: 2012 end-page: 20 ident: bib0070 article-title: Pareto optimization of cognitive radio parameters using multiobjective evolutionary algorithms and fuzzy decision making publication-title: Swarm Evol. Comput. – volume: 18 start-page: 453 year: 1994 end-page: 460 ident: bib0230 article-title: A dynamic penalty function method for the solution of structural optimization problems publication-title: Appl. Math. Model. – volume: 38 start-page: 1111 year: 2014 end-page: 1132 ident: bib0025 article-title: A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities publication-title: Appl. Math. Model. – volume: 37 start-page: 1147 year: 2013 end-page: 1162 ident: bib0040 article-title: Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm publication-title: Appl. Math. Model. – volume: 98 start-page: 46 year: 2014 end-page: 62 ident: bib0060 article-title: Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems publication-title: Math. Comput. Simul. – start-page: 204 year: 2000 end-page: 211 ident: bib0280 article-title: On measuring multiobjective evolutionary algorithm performance publication-title: Proceedings of the IEEE Congress on Evolutionary Computation – year: 2016 ident: bib0335 article-title: MATLAB Box Plot – start-page: 520 year: 2005 end-page: 533 ident: bib0145 article-title: DEMO: differential evolution for multiobjective optimization publication-title: Evolutionary Multi-Criterion Optimization – volume: 42 start-page: 760 year: 2011 end-page: 771 ident: bib0315 article-title: jMetal: a Java framework for multi-objective optimization publication-title: Adv. Eng. Softw. – volume: 1 start-page: 32 year: 2011 end-page: 49 ident: bib0200 article-title: Multiobjective evolutionary algorithms: a survey of the state of the art publication-title: Swarm Evol. Comput. – volume: 156 start-page: 215 year: 2003 end-page: 251 ident: bib0330 article-title: A new adaptive penalty scheme for genetic algorithms publication-title: Inf. Sci. – volume: 35 start-page: 1157 year: 2011 end-page: 1166 ident: bib0035 article-title: A multi-objective approach to simultaneous determination of spare part numbers and preventive replacement times publication-title: Appl. Math. Model. – volume: 76 start-page: 363 year: 2008 end-page: 374 ident: bib0050 article-title: Multi-criteria optimization in nonlinear predictive control publication-title: Math. Comput. Simul. – volume: 237 start-page: 1 year: 2014 end-page: 19 ident: bib0030 article-title: Generation of the exact Pareto set in multi-objective traveling salesman and set covering problems publication-title: Appl. Math. Comput. – year: 2015 ident: bib0285 article-title: Multiobjective colliding bodies optimization publication-title: Proceedings of 5th Int. Conf. on Soft Computing for Problem Solving, SocProS – year: 2015 ident: bib0265 article-title: Symbiotic Organism Search optimization based task scheduling in cloud computing environment publication-title: Future Gen. Comput. Syst. – volume: 26 start-page: 1429 year: 2013 end-page: 1441 ident: bib0085 article-title: Automatic clustering algorithm based on multi-objective immunized PSO to classify actions of 3D human models publication-title: Eng. Appl. Artif. Intell. – start-page: 1291 year: 2009 end-page: 1296 ident: bib0075 article-title: An efficient multi-objective pulse radar compression technique using RBF and NSGA-II publication-title: Proceedings of the World Congress on Nature and Biologically Inspired Computing – year: 2015 ident: bib0260 article-title: An Innovative Parameter-Free Symbiotic Organisms Search (SOS) for Solving Construction-Engineering Problems – volume: 139 start-page: 98 year: 2014 end-page: 112 ident: bib0255 article-title: Symbiotic Organisms Search: a new metaheuristic optimization algorithm publication-title: Comput. Struct. – volume: 60 start-page: 357 year: 2002 end-page: 367 ident: bib0055 article-title: controller design for a distillation column using genetic algorithms publication-title: Math. Comput. Simul. – volume: 186 start-page: 311 year: 2000 end-page: 338 ident: bib0205 article-title: An efficient constraint handling method for genetic algorithms publication-title: Comput. Methods Appl. Mech. Eng. – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: bib0105 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. – volume: 2 start-page: 221 year: 1994 end-page: 248 ident: bib0100 article-title: Muiltiobjective optimization using nondominated sorting in genetic algorithms publication-title: Evol. Comput. – volume: 12 start-page: 269 year: 2008 end-page: 283 ident: bib0140 article-title: A simulated annealing-based multiobjective optimization algorithm: AMOSA publication-title: IEEE Trans. Evol. Comput. – volume: 39 start-page: 2464 year: 2006 end-page: 2477 ident: bib0090 article-title: Multi-objective evolutionary biclustering of gene expression data publication-title: Pattern Recognit. – volume: 28 start-page: 26 year: 1998 end-page: 37 ident: bib0220 article-title: Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I: a unified formulation publication-title: IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. – start-page: 945 year: 2012 end-page: 950 ident: bib0155 article-title: Automatic clustering using MOCLONAL for classifying actions of 3D human models publication-title: Proceedings of IEEE Symposium on Humanities, Science and Engineering Research (SHUSER) – volume: 10 start-page: 658 year: 2006 end-page: 675 ident: bib0245 article-title: A multiobjective optimization-based evolutionary algorithm for constrained optimization publication-title: IEEE Trans. Evol. Comput. – volume: 191 start-page: 1245 year: 2002 end-page: 1287 ident: bib0210 article-title: Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art publication-title: Comput. Meth. Appl. Mech. Eng. – volume: 29 start-page: 1559001 year: 2015 ident: bib0185 article-title: A novel hybrid multi-objective population migration algorithm publication-title: Int. J. Pattern Recognit. Artif. Intell. – volume: 10 start-page: 45 year: 2005 end-page: 56 ident: bib0235 article-title: Penalty function methods for constrained optimization with genetic algorithms publication-title: Math. Comput. Appl. – volume: vol. 242 year: 2002 ident: bib0275 publication-title: Evolutionary Algorithms for Solving Multi-objective Problems – volume: 62 start-page: 242 year: 1994 end-page: 254 ident: bib0225 article-title: Constrained optimization via genetic algorithms publication-title: Simulation – volume: 1 start-page: 28 year: 2006 end-page: 36 ident: bib0195 article-title: Evolutionary multi-objective optimization: a historical view of the field publication-title: IEEE Comput. Intell. Mag. – volume: 2 start-page: 287 year: 2006 end-page: 308 ident: bib0130 article-title: Multi-objective particle swarm optimizers: a survey of the state-of-the-art publication-title: Int. J. Comput. Intell. Res. – volume: 31 start-page: 641 year: 1999 end-page: 661 ident: bib0290 article-title: Generalized method for multiobjcctive engineering optimization publication-title: Eng. Optim. – volume: 3 start-page: 69 year: 2009 end-page: 85 ident: bib0160 article-title: Multiple objective ant colony optimisation publication-title: Swarm Intell. – start-page: 287 year: 2002 end-page: 294 ident: bib0325 article-title: An adaptive penalty scheme in genetic algorithms for constrained optimization problems publication-title: Proceedings of the Genetic and Evolutionary Computation Conference – GECCO – volume: 6 start-page: 163 year: 2005 end-page: 190 ident: bib0150 article-title: Solving multiobjective optimization problems using an artificial immune system publication-title: Genet. Program. Evol. Mach. – volume: 27 start-page: 279 year: 2015 end-page: 298 ident: bib0320 article-title: Water cycle algorithm for solving constrained multi-objective optimization problems publication-title: Appl. Soft Comput. – volume: 29 start-page: 1559009 year: 2015 ident: bib0190 article-title: An adaptive hybrid PSO multi-objective optimization algorithm for constrained optimization problems publication-title: Int. J. Pattern Recognit. Artif. Intell. – volume: 8 start-page: 173 year: 2000 end-page: 195 ident: bib0300 article-title: Comparison of multiobjective evolutionary algorithms: empirical results publication-title: Evol. Comput. – volume: 18 start-page: 602 year: 2014 end-page: 622 ident: bib0115 article-title: An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, Part II: handling constraints and extending to an adaptive approach publication-title: IEEE Trans. Evol. Comput. – volume: 4 start-page: 279 year: 2007 end-page: 292 ident: bib0095 article-title: Multiobjective optimization in bioinformatics and computational biology publication-title: IEEE/ACM Trans. Comput. Biol. Bioinform. – TCBB – volume: 10 start-page: 477 year: 2006 end-page: 506 ident: bib0305 article-title: A review of multiobjective test problems and a scalable test problem toolkit publication-title: IEEE Trans. Evol. Comput. – volume: 116 start-page: 336 year: 2013 end-page: 345 ident: bib0165 article-title: Multi-objective bacterial foraging optimization publication-title: Neurocomputing – start-page: 65 year: 2009 end-page: 70 ident: bib0065 article-title: Energy efficient layout for a wireless sensor network using multi-objective particle swarm optimization publication-title: Proceedings of the IEEE Advance Computing Conference – start-page: 266 year: 2014 end-page: 273 ident: bib0135 article-title: MOPSOhv: a new hypervolume-based multi-objective particle swarm optimizer publication-title: Proceedings of the IEEE Congress on Evolutionary Computation – start-page: 1051 year: 2002 end-page: 1056 ident: bib0120 article-title: MOPSO: a proposal for multiple objective particle swarm optimization publication-title: Proceedings of the IEEE Congress on Evolutionary Computation – year: 2005 ident: bib0005 article-title: Scalable Test Problems for Evolutionary Multiobjective Optimization – volume: 33 start-page: 399 year: 2001 end-page: 424 ident: bib0295 article-title: Multiobjective design optimization by an evolutionary algorithm publication-title: Eng. Optim. – volume: 39 start-page: 2956 year: 2012 end-page: 2964 ident: bib0175 article-title: Solving multiobjective problems using cat swarm optimization publication-title: Expert Syst. Appl. – volume: 13 start-page: 514 year: 2009 end-page: 525 ident: bib0250 article-title: Constraint handling in multiobjective evolutionary optimization publication-title: IEEE Trans. Evol. Comput. – volume: 2 start-page: 221 issue: 3 year: 1994 ident: 10.1016/j.asoc.2016.04.030_bib0100 article-title: Muiltiobjective optimization using nondominated sorting in genetic algorithms publication-title: Evol. Comput. doi: 10.1162/evco.1994.2.3.221 – volume: 10 start-page: 658 issue: 6 year: 2006 ident: 10.1016/j.asoc.2016.04.030_bib0245 article-title: A multiobjective optimization-based evolutionary algorithm for constrained optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2006.872344 – volume: 156 start-page: 215 issue: 5 year: 2003 ident: 10.1016/j.asoc.2016.04.030_bib0330 article-title: A new adaptive penalty scheme for genetic algorithms publication-title: Inf. Sci. doi: 10.1016/S0020-0255(03)00177-4 – volume: 237 start-page: 1 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0030 article-title: Generation of the exact Pareto set in multi-objective traveling salesman and set covering problems publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2014.03.110 – volume: 39 start-page: 2956 issue: 3 year: 2012 ident: 10.1016/j.asoc.2016.04.030_bib0175 article-title: Solving multiobjective problems using cat swarm optimization publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.08.157 – volume: 18 start-page: 602 issue: 4 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0115 article-title: An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, Part II: handling constraints and extending to an adaptive approach publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2013.2281534 – volume: 2 start-page: 39 year: 2012 ident: 10.1016/j.asoc.2016.04.030_bib0170 article-title: A multi-objective artificial bee colony algorithm publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.08.001 – volume: 6 start-page: 163 issue: 2 year: 2005 ident: 10.1016/j.asoc.2016.04.030_bib0150 article-title: Solving multiobjective optimization problems using an artificial immune system publication-title: Genet. Program. Evol. Mach. doi: 10.1007/s10710-005-6164-x – start-page: 65 year: 2009 ident: 10.1016/j.asoc.2016.04.030_bib0065 article-title: Energy efficient layout for a wireless sensor network using multi-objective particle swarm optimization – volume: 39 start-page: 2464 issue: 12 year: 2006 ident: 10.1016/j.asoc.2016.04.030_bib0090 article-title: Multi-objective evolutionary biclustering of gene expression data publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2006.03.003 – start-page: 204 year: 2000 ident: 10.1016/j.asoc.2016.04.030_bib0280 article-title: On measuring multiobjective evolutionary algorithm performance – volume: 10 start-page: 45 issue: 1 year: 2005 ident: 10.1016/j.asoc.2016.04.030_bib0235 article-title: Penalty function methods for constrained optimization with genetic algorithms publication-title: Math. Comput. Appl. doi: 10.3390/mca10010045 – start-page: 1051 year: 2002 ident: 10.1016/j.asoc.2016.04.030_bib0120 article-title: MOPSO: a proposal for multiple objective particle swarm optimization – volume: 98 start-page: 46 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0060 article-title: Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems publication-title: Math. Comput. Simul. doi: 10.1016/j.matcom.2013.05.004 – volume: 186 start-page: 311 year: 2000 ident: 10.1016/j.asoc.2016.04.030_bib0205 article-title: An efficient constraint handling method for genetic algorithms publication-title: Comput. Methods Appl. Mech. Eng. doi: 10.1016/S0045-7825(99)00389-8 – volume: 8 start-page: 256 issue: 3 year: 2004 ident: 10.1016/j.asoc.2016.04.030_bib0125 article-title: Handling multiple objectives with particle swarm optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2004.826067 – year: 2005 ident: 10.1016/j.asoc.2016.04.030_bib0005 – volume: 27 start-page: 279 year: 2015 ident: 10.1016/j.asoc.2016.04.030_bib0320 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 – volume: 16 start-page: 1 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0080 article-title: A survey on nature inspired metaheuristic algorithms for partitional clustering publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2013.11.003 – volume: 191 start-page: 1245 year: 2002 ident: 10.1016/j.asoc.2016.04.030_bib0210 article-title: Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art publication-title: Comput. Meth. Appl. Mech. Eng. doi: 10.1016/S0045-7825(01)00323-1 – volume: 36 start-page: 2868 issue: 7 year: 2012 ident: 10.1016/j.asoc.2016.04.030_bib0045 article-title: Multi-objective analysis of dam release flows in rivers downstream from hydropower reservoirs publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2011.09.077 – volume: 1 start-page: 32 issue: 1 year: 2011 ident: 10.1016/j.asoc.2016.04.030_bib0200 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 – volume: 181 start-page: 3336 issue: 16 year: 2011 ident: 10.1016/j.asoc.2016.04.030_bib0340 article-title: Convergence of multi-objective evolutionary algorithms to a uniformly distributed representation of the Pareto front publication-title: Inf. Sci. doi: 10.1016/j.ins.2011.04.004 – volume: 18 start-page: 577 issue: 4 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0110 article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: solving problems with box constraints publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2013.2281535 – year: 2015 ident: 10.1016/j.asoc.2016.04.030_bib0285 article-title: Multiobjective colliding bodies optimization – volume: 255 start-page: 105 year: 2015 ident: 10.1016/j.asoc.2016.04.030_bib0010 article-title: On multi-objective optimization aided drawing of special graphs publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2014.08.010 – volume: 4 start-page: 135 year: 1995 ident: 10.1016/j.asoc.2016.04.030_bib0215 article-title: A survey of constraint handling techniques in evolutionary computation methods publication-title: Evol. Program. – volume: 139 start-page: 98 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0255 article-title: Symbiotic Organisms Search: a new metaheuristic optimization algorithm publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2014.03.007 – year: 2016 ident: 10.1016/j.asoc.2016.04.030_bib0335 – volume: 35 start-page: 1157 issue: 3 year: 2011 ident: 10.1016/j.asoc.2016.04.030_bib0035 article-title: A multi-objective approach to simultaneous determination of spare part numbers and preventive replacement times publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2010.08.003 – volume: 60 start-page: 357 issue: 3 year: 2002 ident: 10.1016/j.asoc.2016.04.030_bib0055 article-title: H∞ controller design for a distillation column using genetic algorithms publication-title: Math. Comput. Simul. doi: 10.1016/S0378-4754(02)00028-9 – volume: 12 start-page: 269 issue: 3 year: 2008 ident: 10.1016/j.asoc.2016.04.030_bib0140 article-title: A simulated annealing-based multiobjective optimization algorithm: AMOSA publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2007.900837 – volume: 26 start-page: 1429 issue: 5 year: 2013 ident: 10.1016/j.asoc.2016.04.030_bib0085 article-title: Automatic clustering algorithm based on multi-objective immunized PSO to classify actions of 3D human models publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2012.11.008 – volume: 37 start-page: 1147 issue: 3 year: 2013 ident: 10.1016/j.asoc.2016.04.030_bib0040 article-title: Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2012.03.043 – volume: 4 start-page: 279 issue: 2 year: 2007 ident: 10.1016/j.asoc.2016.04.030_bib0095 article-title: Multiobjective optimization in bioinformatics and computational biology publication-title: IEEE/ACM Trans. Comput. Biol. Bioinform. – TCBB doi: 10.1109/TCBB.2007.070203 – volume: 10 start-page: 477 issue: 5 year: 2006 ident: 10.1016/j.asoc.2016.04.030_bib0305 article-title: A review of multiobjective test problems and a scalable test problem toolkit publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2005.861417 – year: 2015 ident: 10.1016/j.asoc.2016.04.030_bib0265 article-title: Symbiotic Organism Search optimization based task scheduling in cloud computing environment publication-title: Future Gen. Comput. Syst. – start-page: 266 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0135 article-title: MOPSOhv: a new hypervolume-based multi-objective particle swarm optimizer – volume: 28 start-page: 26 issue: 1 year: 1998 ident: 10.1016/j.asoc.2016.04.030_bib0220 article-title: Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I: a unified formulation publication-title: IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. doi: 10.1109/3468.650319 – volume: 13 start-page: 514 issue: 3 year: 2009 ident: 10.1016/j.asoc.2016.04.030_bib0250 article-title: Constraint handling in multiobjective evolutionary optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2008.2009032 – volume: 7 start-page: 7 year: 2012 ident: 10.1016/j.asoc.2016.04.030_bib0070 article-title: Pareto optimization of cognitive radio parameters using multiobjective evolutionary algorithms and fuzzy decision making publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2012.07.001 – year: 2001 ident: 10.1016/j.asoc.2016.04.030_bib0270 – year: 2015 ident: 10.1016/j.asoc.2016.04.030_bib0260 – start-page: 945 year: 2012 ident: 10.1016/j.asoc.2016.04.030_bib0155 article-title: Automatic clustering using MOCLONAL for classifying actions of 3D human models – volume: 7 start-page: 445 year: 2003 ident: 10.1016/j.asoc.2016.04.030_bib0240 article-title: Self-adaptive fitness formulation for constrained optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2003.817236 – volume: 40 start-page: 1616 issue: 6 year: 2013 ident: 10.1016/j.asoc.2016.04.030_bib0180 article-title: Multiobjective cuckoo search for design optimization publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2011.09.026 – volume: 3 start-page: 69 issue: 1 year: 2009 ident: 10.1016/j.asoc.2016.04.030_bib0160 article-title: Multiple objective ant colony optimisation publication-title: Swarm Intell. doi: 10.1007/s11721-008-0022-4 – volume: 29 start-page: 1559001 issue: 01 year: 2015 ident: 10.1016/j.asoc.2016.04.030_bib0185 article-title: A novel hybrid multi-objective population migration algorithm publication-title: Int. J. Pattern Recognit. Artif. Intell. doi: 10.1142/S0218001415590016 – volume: 1 start-page: 28 issue: 1 year: 2006 ident: 10.1016/j.asoc.2016.04.030_bib0195 article-title: Evolutionary multi-objective optimization: a historical view of the field publication-title: IEEE Comput. Intell. Mag. doi: 10.1109/MCI.2006.1597059 – start-page: 287 year: 2002 ident: 10.1016/j.asoc.2016.04.030_bib0325 article-title: An adaptive penalty scheme in genetic algorithms for constrained optimization problems – start-page: 1291 year: 2009 ident: 10.1016/j.asoc.2016.04.030_bib0075 article-title: An efficient multi-objective pulse radar compression technique using RBF and NSGA-II – volume: 38 start-page: 1111 issue: 3 year: 2014 ident: 10.1016/j.asoc.2016.04.030_bib0025 article-title: A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2013.07.038 – volume: 76 start-page: 363 issue: 5 year: 2008 ident: 10.1016/j.asoc.2016.04.030_bib0050 article-title: Multi-criteria optimization in nonlinear predictive control publication-title: Math. Comput. Simul. doi: 10.1016/j.matcom.2007.04.002 – start-page: 9092 year: 2010 ident: 10.1016/j.asoc.2016.04.030_bib0310 article-title: Gradient-based multi-objective optimization technology – volume: 2 start-page: 287 issue: 3 year: 2006 ident: 10.1016/j.asoc.2016.04.030_bib0130 article-title: Multi-objective particle swarm optimizers: a survey of the state-of-the-art publication-title: Int. J. Comput. Intell. Res. – volume: 8 start-page: 173 issue: 2 year: 2000 ident: 10.1016/j.asoc.2016.04.030_bib0300 article-title: Comparison of multiobjective evolutionary algorithms: empirical results publication-title: Evol. Comput. doi: 10.1162/106365600568202 – start-page: 520 year: 2005 ident: 10.1016/j.asoc.2016.04.030_bib0145 article-title: DEMO: differential evolution for multiobjective optimization – volume: 116 start-page: 336 year: 2013 ident: 10.1016/j.asoc.2016.04.030_bib0165 article-title: Multi-objective bacterial foraging optimization publication-title: Neurocomputing doi: 10.1016/j.neucom.2012.01.044 – volume: 200 start-page: 167 issue: 1 year: 2008 ident: 10.1016/j.asoc.2016.04.030_bib0015 article-title: An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP) publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2007.09.070 – volume: 62 start-page: 242 issue: 4 year: 1994 ident: 10.1016/j.asoc.2016.04.030_bib0225 article-title: Constrained optimization via genetic algorithms publication-title: Simulation doi: 10.1177/003754979406200405 – volume: 29 start-page: 1559009 issue: 06 year: 2015 ident: 10.1016/j.asoc.2016.04.030_bib0190 article-title: An adaptive hybrid PSO multi-objective optimization algorithm for constrained optimization problems publication-title: Int. J. Pattern Recognit. Artif. Intell. doi: 10.1142/S0218001415590090 – volume: vol. 242 year: 2002 ident: 10.1016/j.asoc.2016.04.030_bib0275 – volume: 218 start-page: 9353 issue: 18 year: 2012 ident: 10.1016/j.asoc.2016.04.030_bib0020 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 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.asoc.2016.04.030_bib0105 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – volume: 31 start-page: 641 year: 1999 ident: 10.1016/j.asoc.2016.04.030_bib0290 article-title: Generalized method for multiobjcctive engineering optimization publication-title: Eng. Optim. doi: 10.1080/03052159908941390 – volume: 18 start-page: 453 issue: 8 year: 1994 ident: 10.1016/j.asoc.2016.04.030_bib0230 article-title: A dynamic penalty function method for the solution of structural optimization problems publication-title: Appl. Math. Model. doi: 10.1016/0307-904X(94)90307-7 – volume: 33 start-page: 399 issue: 4 year: 2001 ident: 10.1016/j.asoc.2016.04.030_bib0295 article-title: Multiobjective design optimization by an evolutionary algorithm publication-title: Eng. Optim. doi: 10.1080/03052150108940926 – volume: 42 start-page: 760 issue: 10 year: 2011 ident: 10.1016/j.asoc.2016.04.030_bib0315 article-title: jMetal: a Java framework for multi-objective optimization publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2011.05.014 |
| SSID | ssj0016928 |
| Score | 2.5142694 |
| Snippet | [Display omitted]
•Proposed a new multi-objective Symbiotic Organisms Search algorithm.•Performance is validated on 12 unconstrained and 6 constrained... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 344 |
| SubjectTerms | Adaptive penalty function Constrained optimization MOPSO NSGA-II Symbiotic organisms search Truss design problem |
| Title | A Symbiotic Organisms Search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems |
| URI | https://dx.doi.org/10.1016/j.asoc.2016.04.030 |
| Volume | 46 |
| WOSCitedRecordID | wos000377999900026&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/eLvHCXMwtV3Pb9MwFLZKx4EL46c2NpAP3KKgJnbi-FihTYDQhMRAvUW2k0CrNomabNokDvzpPP8KocDEDlyiKmkcu-_r8xf7e-8h9JIACydcyTCKChLqWOtQJKoKKXBdXnCeFCbZ8-f37OwsWyz4h8nkm4-FuVyzus6urnj7X00N58DYOnT2FuYeGoUT8BmMDkcwOxz_yfDz4OP1Ri4bnYnVRlp2my6wsuJArL8022X_deOC2grRGu1QW0K7WrwJ05xBBFBS6CZcMYrDsJEr6xm1TL0zdSWAqTZw88YFcgauNE03prue43bg7I16_aL3U6XZtqoLu6wLo2r10EZXlna9Wl6LTus9x6sTYGkvvxocapqFlLtlRudx6dhlEpv_0c2-xFYX-M2x2zWG1SsBmNWCvNQkqHVbOr9k0d6Z3QbNoZezrXLdRq7byGc0hzbuoL2YJTybor3525PFu2EXKuWmNu8wBhd0ZfWBuz35M7EZkZXzB-i-e8vAc4uOh2hS1o_Qvq_ggZ1Df4y-z_EAFjyABVuw4AEsWIMFe7BgBxbswYL7Bhuw4B2w4BFY8Bgs2IPlCfp0enL--k3oanKEisxmfcjjiCpeRqlm9oWUJJYJnzEpaBUzRWTFFU1UJmkiCc1oVWQUPEFFShozyiUhT9G0buryAGHCiKoYFaKS8JoeyUymUZWWVSpTQSPJDlHkf9BcuYT1usvr_O-mPETBcE9r07Xc-O3E2yl3hNMSyRxgd8N9z271lCN07-c_4xhN--1F-RzdVZf9stu-cJj7Aet4qVE |
| 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+Symbiotic+Organisms+Search+algorithm+with+adaptive+penalty+function+to+solve+multi-objective+constrained+optimization+problems&rft.jtitle=Applied+soft+computing&rft.au=Panda%2C+Arnapurna&rft.au=Pani%2C+Sabyasachi&rft.date=2016-09-01&rft.issn=1568-4946&rft.volume=46&rft.spage=344&rft.epage=360&rft_id=info:doi/10.1016%2Fj.asoc.2016.04.030&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_asoc_2016_04_030 |
| 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 |