Adaptive decomposition-based evolutionary algorithm for many-objective optimization with two-stage dual-density judgment
In order to better balance the convergence and diversity of MOEA/D for many objective optimization problems (MaOPs) with various Pareto fronts (PFs), an adaptive decomposition-based evolutionary algorithm for MaOPs with two-stage dual-density judgment is proposed. To solve the problem that weighted...
Gespeichert in:
| Veröffentlicht in: | Applied soft computing Jg. 167; S. 112434 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.12.2024
|
| Schlagworte: | |
| ISSN: | 1568-4946 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | In order to better balance the convergence and diversity of MOEA/D for many objective optimization problems (MaOPs) with various Pareto fronts (PFs), an adaptive decomposition-based evolutionary algorithm for MaOPs with two-stage dual-density judgment is proposed. To solve the problem that weighted Tchebycheff decomposition may produce weakly Pareto optimal solutions when the solution is not unique or the uniqueness is difficult to guarantee, an augmented weighted Tchebycheff decomposition is adopted. To balance the convergence and diversity of non-dominated solutions in the external archive, different sparsity-level evaluations using vector angles or Euclidean distances are used to measure the distribution of solutions at different stages. To improve the diversity of solution sets obtained by MOEA/D for various PFs, an adaptive weight vector adjustment method based on two-stage dual-density judgment is presented. For weight vector addition, the potential search area is found according to the two-stage density judgment, and then a two-stage sparsity level judgment on the solutions of this area is performed for a second density judgment. For weight vector deletion, the degree of crowding is used to delete the weight vectors with a high crowding degree. Compared with nine advanced multi-objective optimization algorithms on DTLZ and WFG problems, the results demonstrate that the performance of the proposed algorithm is significantly better than other algorithms.
•An augmented weighted Tchebycheff decomposition is adopted to improve convergence.•A two-stage sparsity level judgment is used to maintain the diversity and convergence of non-dominated solutions.•A two-stage dual-density judgment adaptive weight vector adjustment method is proposed.•Compare with 9 latest algorithms to prove the effectiveness of the proposed algorithm. |
|---|---|
| AbstractList | In order to better balance the convergence and diversity of MOEA/D for many objective optimization problems (MaOPs) with various Pareto fronts (PFs), an adaptive decomposition-based evolutionary algorithm for MaOPs with two-stage dual-density judgment is proposed. To solve the problem that weighted Tchebycheff decomposition may produce weakly Pareto optimal solutions when the solution is not unique or the uniqueness is difficult to guarantee, an augmented weighted Tchebycheff decomposition is adopted. To balance the convergence and diversity of non-dominated solutions in the external archive, different sparsity-level evaluations using vector angles or Euclidean distances are used to measure the distribution of solutions at different stages. To improve the diversity of solution sets obtained by MOEA/D for various PFs, an adaptive weight vector adjustment method based on two-stage dual-density judgment is presented. For weight vector addition, the potential search area is found according to the two-stage density judgment, and then a two-stage sparsity level judgment on the solutions of this area is performed for a second density judgment. For weight vector deletion, the degree of crowding is used to delete the weight vectors with a high crowding degree. Compared with nine advanced multi-objective optimization algorithms on DTLZ and WFG problems, the results demonstrate that the performance of the proposed algorithm is significantly better than other algorithms.
•An augmented weighted Tchebycheff decomposition is adopted to improve convergence.•A two-stage sparsity level judgment is used to maintain the diversity and convergence of non-dominated solutions.•A two-stage dual-density judgment adaptive weight vector adjustment method is proposed.•Compare with 9 latest algorithms to prove the effectiveness of the proposed algorithm. |
| ArticleNumber | 112434 |
| Author | Sun, Yongjun Liu, Zujun Liu, Jiaqi |
| Author_xml | – sequence: 1 givenname: Yongjun orcidid: 0000-0002-1145-1750 surname: Sun fullname: Sun, Yongjun email: yjsun@mail.xidian.edu.cn – sequence: 2 givenname: Jiaqi surname: Liu fullname: Liu, Jiaqi – sequence: 3 givenname: Zujun surname: Liu fullname: Liu, Zujun |
| BookMark | eNp9kM1KAzEUhbOoYKu-gKu8QMYk8w9uSvEPCm50HTLJnZphZlKStLU-vZnWlYuuLhfOd-B8CzQb7QgI3TOaMMqKhy6R3qqEU54ljPEszWZozvKiIlmdFddo4X1HY7Dm1Rx9L7XcBrMHrEHZYWu9CcaOpJEeNIa97XfTL90Ry35jnQlfA26tw4Mcj8Q2HagTbWPJYH7kFMaHmMLhYIkPchObd7InGsZYfcTdTm8GGMMtumpl7-Hu796gz-enj9UrWb-_vK2Wa6JSSgMpdAWM1rxNdV20UIGKG9oSSp7zllWSZ0AhVWldKpWXvGwaJksoqFKqybOqSG8QP_cqZ7130IqtM0PcIxgVky_RicmXmHyJs68IVf8gZcJpW3DS9JfRxzMKcdTegBNeGRgVaOOiK6GtuYT_Arbajss |
| CitedBy_id | crossref_primary_10_3390_en18071580 crossref_primary_10_1007_s11227_025_07705_w crossref_primary_10_1016_j_asoc_2025_113386 |
| Cites_doi | 10.1109/TEVC.2017.2737781 10.1109/TCYB.2016.2638902 10.1007/s00500-017-2609-4 10.1162/EVCO_a_00109 10.1109/TEVC.2002.802873 10.1109/TEVC.2017.2749619 10.1109/TCYB.2017.2737554 10.1007/BF02591870 10.1145/2576768.2598297 10.1109/MCI.2017.2742868 10.1016/j.asoc.2023.111006 10.1109/TCYB.2014.2365354 10.1007/978-3-030-53956-6_41 10.1016/j.swevo.2017.01.002 10.1109/TEVC.2016.2587808 10.1007/s10732-015-9301-6 10.1109/TCYB.2017.2779450 10.1109/TEVC.2016.2521175 10.1007/s00500-015-1736-z 10.1016/j.ejor.2014.05.019 10.1109/TEVC.2005.861417 10.1016/j.asoc.2022.109412 10.1109/TEVC.2014.2373386 10.1007/978-3-319-13563-2_24 10.1007/978-3-030-12598-1_18 10.1109/TEVC.2015.2424251 10.1109/TEVC.2015.2504730 10.1162/EVCO_a_00009 10.1109/TEVC.2013.2293776 10.1109/TEVC.2007.892759 10.1162/evco_a_00269 10.1109/TEVC.2013.2262178 10.1109/TEVC.2015.2457616 10.1016/j.asoc.2023.110095 10.1007/s10489-017-0927-y 10.1016/j.ins.2019.05.083 10.1109/TEVC.2018.2874465 10.1109/TEVC.2013.2281535 10.1109/TEVC.2018.2865590 10.1109/4235.996017 10.1109/TEVC.2016.2598687 10.1007/s10898-014-0214-y 10.1109/TEVC.2013.2281534 10.1109/TCYB.2020.3020630 10.1109/TEVC.2016.2519378 |
| ContentType | Journal Article |
| Copyright | 2024 Elsevier B.V. |
| Copyright_xml | – notice: 2024 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.asoc.2024.112434 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| ExternalDocumentID | 10_1016_j_asoc_2024_112434 S1568494624012080 |
| 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 AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXKI AAXUO AAYFN ABBOA ABFNM ABFRF ABJNI ABMAC ABXDB ACDAQ ACGFO ACGFS ACNNM ACRLP ACRPL ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEFWE AEKER AENEX AFJKZ AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJOXV AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC 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 AAYWO AAYXX ABWVN ACLOT ACVFH ADCNI ADNMO AEIPS AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP CITATION EFKBS EFLBG ~HD |
| ID | FETCH-LOGICAL-c300t-6d8e1092f3d96fe8ec946f7e7252f18a24e0e3c397cc5727bb1a7e60cccb54863 |
| ISICitedReferencesCount | 4 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001356153500001&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 03:06:06 EST 2025 Tue Nov 18 21:24:00 EST 2025 Wed Dec 04 16:47:48 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Dual-density judgment Adaptive weight vector adjustment Many-objective optimization Two-stage strategy |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c300t-6d8e1092f3d96fe8ec946f7e7252f18a24e0e3c397cc5727bb1a7e60cccb54863 |
| ORCID | 0000-0002-1145-1750 |
| ParticipantIDs | crossref_primary_10_1016_j_asoc_2024_112434 crossref_citationtrail_10_1016_j_asoc_2024_112434 elsevier_sciencedirect_doi_10_1016_j_asoc_2024_112434 |
| PublicationCentury | 2000 |
| PublicationDate | December 2024 2024-12-00 |
| PublicationDateYYYYMMDD | 2024-12-01 |
| PublicationDate_xml | – month: 12 year: 2024 text: December 2024 |
| PublicationDecade | 2020 |
| PublicationTitle | Applied soft computing |
| PublicationYear | 2024 |
| Publisher | Elsevier B.V |
| Publisher_xml | – sequence: 0 name: Elsevier B.V |
| References | Sato (bib10) 2014 Jain, Deb (bib33) 2014; 18 Liu, Ishibuchi, Masuyama, Nojima (bib67) 2020; 24 Farias, Araujol (bib41) 2019 Peng, Wolter (bib59) 2020 Liu, Jin, Heiderich, Rodemann, Yu (bib68) 2022; 52 Wang, Tao, Deng (bib17) 2020 H. Sato, 2014, Inverted PBI in MOEA/D and its impact on the search performance on multi and many-objective optimization, in Proc.Conf. Genet. Evol. Comput. (GECCO), V ancouver, BC, Canada, 2014,pp. 645–652, https://doi.org/10.1145/2576768.2598297. Xiang, Zhou, Li, Chen (bib55) 2017; 21 Chen, Shi, Zhou (bib19) 2019 Chen, Yin, Yu, Fan (bib37) 2022; 128 Zhang, Tan, Lee, Gao (bib47) 2018; 22 Wang, Li, Li, Zhang (bib39) 2023; 149 Zitzler, Knowles, Thiele (bib70) 2008 Wang, Li, Tao, Gu (bib15) 2020 Zou, Liu, Yang, Zheng (bib66) 2021; 60 Zhang, Li (bib9) 2007; 11 Liu, Jin, Heiderich (bib36) 2019 He, Yen (bib61) 2017; 21 Kalyanmoy (bib1) 2001 Jaszkiewicz (bib43) 2002; 6 Zhou, Yao (bib22) 2019; 501 Sato (bib13) 2015; 21 Ge, Zhao (bib48) 2019; 23 Deb, Thiele, Laumanns, Zitzler (bib62) 2002 Tian, Cheng, Zhang, Cheng, Jin (bib5) 2018; 22 Li, Kwong, Zhang, Deb (bib6) 2015; 45 Saborido, Ruiz, Luque (bib30) 2016; 8 Steuer, Choo (bib58) 1983; 26 Li, Deb, Zhang, Kwong (bib64) 2015; 19 Li, Deb, Yao (bib50) 2018; 22 Zhou, Yao (bib54) 2017; 47 Wang, Purshouse, Fleming (bib44) 2015; 243 Wang, Zhang, Zhou (bib27) 2016; 20 Li, Ding, Deng, Zhang (bib45) 2015 Huband, Hingston, Barone, While (bib63) 2006; 10 Zhou, Zhang (bib20) 2016; 20 Deb, Jain (bib2) 2014; 18 Cai, Mei, Fan (bib23) 2018; 48 Yu, Zheng, Shen, Li (bib52) 2016; 20 Liu, Zhu, Li (bib60) 2019; 509 Gu, Cheung, Liu, Lin (bib46) 2018 Jiang, Yang (bib11) 2016; 46 Trivedi, Srinivasan, Sanyal, Ghosh (bib7) 2017; 21 Wang, Zhang, Zhang (bib31) 2016; 20 Xu, Zeng, Zhang, Zeng (bib49) 2019; 49 ang, Jiang, Jiang (bib14) 2016 Li, Yao (bib42) 2020; 28 Wang, Zhang, Zhang (bib32) 2015 Ma, Yu, Li (bib21) 2020 Li, Yang, Liu (bib56) 2014; 18 ang, Jiang, Jiang (bib24) 2016 Cheng, Jin, Olhofer (bib35) 2016; 20 Bader, Zitzler (bib4) 2011; 19 Deb, Pratap, Agarwal, Meyarivan (bib3) 2002; 6 He, Zhou, Chen (bib65) 2018; 23 Qi, Ma, Liu, Jiao, Sun, Wu (bib40) 2014; 22 Li, Zhang, Song (bib12) 2019 Ruiz, Saborido, Luque (bib29) 2015; 62 Meneghini, Guimarães (bib51) 2017 Tian, Cheng, Zhang, Jin (bib69) 2017; 12 Xu, Zhang (bib38) 2023; 136 Akhmedova, Stanovov (bib18) 2020 Wang, Zhang, Li, Ishibuchi, Jiao (bib28) 2017; 34 Liu, Gong, Sun, Jin (bib53) 2017; 47 Giagkiozis, Purshouse, Fleming (bib25) 2013 Chen, Li, Wen (bib16) 2019 Camacho, Toscano, Becerra, Ishibuchi (bib34) 2019 Li, Zhang, Kwong, Li, Wang (bib8) 2014; 18 Li, Yang, Liu (bib57) 2016; 20 Li (10.1016/j.asoc.2024.112434_bib8) 2014; 18 Chen (10.1016/j.asoc.2024.112434_bib16) 2019 Zitzler (10.1016/j.asoc.2024.112434_bib70) 2008 Liu (10.1016/j.asoc.2024.112434_bib53) 2017; 47 Zou (10.1016/j.asoc.2024.112434_bib66) 2021; 60 Gu (10.1016/j.asoc.2024.112434_bib46) 2018 Meneghini (10.1016/j.asoc.2024.112434_bib51) 2017 Li (10.1016/j.asoc.2024.112434_bib42) 2020; 28 Deb (10.1016/j.asoc.2024.112434_bib62) 2002 He (10.1016/j.asoc.2024.112434_bib65) 2018; 23 Farias (10.1016/j.asoc.2024.112434_bib41) 2019 Yu (10.1016/j.asoc.2024.112434_bib52) 2016; 20 Huband (10.1016/j.asoc.2024.112434_bib63) 2006; 10 Chen (10.1016/j.asoc.2024.112434_bib37) 2022; 128 Jain (10.1016/j.asoc.2024.112434_bib33) 2014; 18 Saborido (10.1016/j.asoc.2024.112434_bib30) 2016; 8 Steuer (10.1016/j.asoc.2024.112434_bib58) 1983; 26 Trivedi (10.1016/j.asoc.2024.112434_bib7) 2017; 21 Xiang (10.1016/j.asoc.2024.112434_bib55) 2017; 21 Wang (10.1016/j.asoc.2024.112434_bib44) 2015; 243 Zhou (10.1016/j.asoc.2024.112434_bib22) 2019; 501 Akhmedova (10.1016/j.asoc.2024.112434_bib18) 2020 Li (10.1016/j.asoc.2024.112434_bib50) 2018; 22 Wang (10.1016/j.asoc.2024.112434_bib39) 2023; 149 Deb (10.1016/j.asoc.2024.112434_bib3) 2002; 6 Zhang (10.1016/j.asoc.2024.112434_bib9) 2007; 11 Li (10.1016/j.asoc.2024.112434_bib56) 2014; 18 Bader (10.1016/j.asoc.2024.112434_bib4) 2011; 19 Wang (10.1016/j.asoc.2024.112434_bib27) 2016; 20 Li (10.1016/j.asoc.2024.112434_bib6) 2015; 45 Giagkiozis (10.1016/j.asoc.2024.112434_bib25) 2013 Zhou (10.1016/j.asoc.2024.112434_bib20) 2016; 20 Ma (10.1016/j.asoc.2024.112434_bib21) 2020 Li (10.1016/j.asoc.2024.112434_bib12) 2019 Li (10.1016/j.asoc.2024.112434_bib45) 2015 Wang (10.1016/j.asoc.2024.112434_bib17) 2020 Jiang (10.1016/j.asoc.2024.112434_bib11) 2016; 46 Camacho (10.1016/j.asoc.2024.112434_bib34) 2019 Sato (10.1016/j.asoc.2024.112434_bib10) 2014 10.1016/j.asoc.2024.112434_bib26 Xu (10.1016/j.asoc.2024.112434_bib38) 2023; 136 Jaszkiewicz (10.1016/j.asoc.2024.112434_bib43) 2002; 6 ang (10.1016/j.asoc.2024.112434_bib14) 2016 Li (10.1016/j.asoc.2024.112434_bib57) 2016; 20 Peng (10.1016/j.asoc.2024.112434_bib59) 2020 ang (10.1016/j.asoc.2024.112434_bib24) 2016 Ruiz (10.1016/j.asoc.2024.112434_bib29) 2015; 62 Zhou (10.1016/j.asoc.2024.112434_bib54) 2017; 47 Qi (10.1016/j.asoc.2024.112434_bib40) 2014; 22 Tian (10.1016/j.asoc.2024.112434_bib69) 2017; 12 Li (10.1016/j.asoc.2024.112434_bib64) 2015; 19 Liu (10.1016/j.asoc.2024.112434_bib60) 2019; 509 Tian (10.1016/j.asoc.2024.112434_bib5) 2018; 22 Liu (10.1016/j.asoc.2024.112434_bib67) 2020; 24 Cai (10.1016/j.asoc.2024.112434_bib23) 2018; 48 Wang (10.1016/j.asoc.2024.112434_bib28) 2017; 34 Wang (10.1016/j.asoc.2024.112434_bib31) 2016; 20 Wang (10.1016/j.asoc.2024.112434_bib32) 2015 Liu (10.1016/j.asoc.2024.112434_bib36) 2019 Chen (10.1016/j.asoc.2024.112434_bib19) 2019 Cheng (10.1016/j.asoc.2024.112434_bib35) 2016; 20 Ge (10.1016/j.asoc.2024.112434_bib48) 2019; 23 Wang (10.1016/j.asoc.2024.112434_bib15) 2020 Sato (10.1016/j.asoc.2024.112434_bib13) 2015; 21 Xu (10.1016/j.asoc.2024.112434_bib49) 2019; 49 Liu (10.1016/j.asoc.2024.112434_bib68) 2022; 52 Deb (10.1016/j.asoc.2024.112434_bib2) 2014; 18 He (10.1016/j.asoc.2024.112434_bib61) 2017; 21 Kalyanmoy (10.1016/j.asoc.2024.112434_bib1) 2001 Zhang (10.1016/j.asoc.2024.112434_bib47) 2018; 22 |
| References_xml | – volume: 501 start-page: 248 year: 2019 end-page: 271 ident: bib22 article-title: A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement publication-title: Inf. Sci. – start-page: 615 year: 2013 end-page: 620 ident: bib25 article-title: Towards understanding the cost of adaptation in decomposition-based optimization algorithms publication-title: Systems, Man, and Cybernetics (SMC),2013 IEEE International Conference on – volume: 19 start-page: 694 year: 2015 end-page: 716 ident: bib64 article-title: An evolutionary many-objective optimization algorithm based on dominance and decomposition publication-title: IEEE Trans. Evol. Comput. – volume: 23 year: 2018 ident: bib65 article-title: Evolutionary many-objective optimization based on dynamical decomposition publication-title: IEEE Trans. Evolut. Comput. – volume: 21 start-page: 220 year: 2017 end-page: 233 ident: bib61 article-title: Many-objective evolutionary algorithms based on coordinated selection strategy publication-title: IEEE Trans. Evolut. Comput. – start-page: 216 year: 2019 end-page: 228 ident: bib34 article-title: Indicator based weight adaptation for solving many-objective optimization problems publication-title: Proc. Evol. Multi Crit. Optim. (EMO) – volume: 128 year: 2022 ident: bib37 article-title: A decomposition-based many-objective evolutionary algorithm with adaptive weight vector strategy publication-title: Appl. Soft Comput. – volume: 12 start-page: 73 year: 2017 end-page: 87 ident: bib69 article-title: Platemo: a matlab platform for evolutionary multi-objective optimization [educational forum] publication-title: IEEE Comput. Intell. Mag. – volume: 62 start-page: 101 year: 2015 end-page: 129 ident: bib29 article-title: A preference-based evolutionary algorithm for multiobjective optimization: The weighting achievement scalarizing function genetic algorithm publication-title: J. Glob. Optim. – start-page: 274 year: 2014 end-page: 286 ident: bib10 article-title: Adaptive update range of solutions in MOEA/D for multi and many-objective optimization publication-title: Simula Evol. Learn. – start-page: 1 year: 2016 end-page: 15 ident: bib14 article-title: Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes publication-title: Soft Comput. – volume: 11 start-page: 712 year: 2007 end-page: 731 ident: bib9 article-title: Moea/d: A multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evolut. Comput. – volume: 20 start-page: 773 year: 2016 end-page: 791 ident: bib35 article-title: A reference vector guided evolutionary algorithm for many-objective optimization publication-title: IEEE Trans. Evolut. Comput. – start-page: 1726 year: 2019 end-page: 1733 ident: bib36 article-title: Adaptation of reference vectors for evolutionary many-objective optimization of problems with irregular pareto fronts publication-title: Congr. Evolut. Comput. – start-page: 978 year: 2015 end-page: 985 ident: bib45 article-title: On the use of random weights in MOEA/D publication-title: Proc. IEEE Congr. Evol. Comput. (CEC) – year: 2019 ident: bib41 article-title: Many-Objective Evolutionary Algorithm Based On Decomposition With Random And Adaptive Weights publication-title: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) – volume: 28 start-page: 227 year: 2020 end-page: 253 ident: bib42 article-title: What weights work for you? adapting weights for any pareto front shape in decomposition-based evolutionary multi-objective optimisation publication-title: Evolut. Comput. – volume: 21 start-page: 440 year: 2017 end-page: 462 ident: bib7 article-title: A survey of multiobjective evolutionary algorithms based on decomposition publication-title: IEEE Trans. Evolut. Comput. – volume: 18 start-page: 909 year: 2014 end-page: 923 ident: bib8 article-title: Stable matching-based selection in evolutionary multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 6 start-page: 402 year: 2002 end-page: 412 ident: bib43 article-title: On the performance of multiple-objective genetic local search on the 0/1 knapsack problem—A comparative experiment publication-title: IEEE Trans. Evol. Comput. – year: 2020 ident: bib59 article-title: A Novel Archive Maintenance for Adapting Weight Vectors in Decomposition-based Multi-objective Evolutionary Algorithms publication-title: 2020 IEEE Congress on Evolutionary Computation (CEC) – volume: 45 start-page: 2076 year: 2015 end-page: 2088 ident: bib6 article-title: Interrelationship-based selection for decomposition multiobjective optimization publication-title: IEEE Trans. Cybern. – volume: 26 start-page: 326 year: 1983 end-page: 344 ident: bib58 article-title: An interactive weighted Tchebycheff procedure for multiple objective programming publication-title: Math. Program. – volume: 22 start-page: 821 year: 2018 end-page: 835 ident: bib50 article-title: R-metric: evaluating the performance of preference-based evolutionary multi-objective optimization using reference points publication-title: IEEE Trans. Evol. Comput. – volume: 24 start-page: 439 year: 2020 end-page: 453 ident: bib67 article-title: Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts publication-title: IEEE Trans. Evolut. Comput. – start-page: 842 year: 2018 end-page: 845 ident: bib46 article-title: A parameterless decomposition-based evolutionary multi-objective algorithm publication-title: Proc. Int. Conf. Adv. Comput. Intell. – volume: 149 year: 2023 ident: bib39 article-title: Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive publication-title: Appl. Soft Comput. – volume: 46 start-page: 421 year: 2016 end-page: 437 ident: bib11 article-title: An improved multiobjective optimization evolutionary algorithm based on decomposition for complex pareto fronts publication-title: IEEE Trans. Syst., Man, Cybern. – volume: 23 start-page: 572 year: 2019 end-page: 586 ident: bib48 article-title: A many-objective evolutionary algorithm with two interacting processes: Cascade clustering and reference point incremental learning publication-title: IEEE Trans. Evol. Comput. – volume: 10 start-page: 477 year: 2006 end-page: 506 ident: bib63 article-title: A review of multiobjective test problems and a scalable test problem toolkit publication-title: IEEE Trans. Evol. Comput. – year: 2020 ident: bib15 article-title: An Improved MOEA/D algorithm with an adaptive evolutionary strategy publication-title: Inf. Sci. – volume: 22 start-page: 231 year: 2014 end-page: 264 ident: bib40 article-title: Moea/d with adaptive weight adjustment publication-title: Evolut. Comput. – volume: 22 start-page: 609 year: 2018 end-page: 622 ident: bib5 article-title: An indicator based multi-objective evolutionary algorithm with reference point adaptation for better versatility publication-title: IEEE Trans. Evol. Comput. – start-page: 77 year: 2019 end-page: 93 ident: bib12 article-title: MOEA/D with the online agglomerative clustering based self-adaptive mating restriction strategy publication-title: Neurocomputing – start-page: 1900 year: 2017 end-page: 1907 ident: bib51 article-title: Evolutionary method for weight vector generation in multi-objective evolutionary algorithms based on decomposition and aggregation publication-title: Proc. IEEE Congr. Evol. Comput. (CEC) – volume: 48 start-page: 2335 year: 2018 end-page: 2348 ident: bib23 article-title: A decomposition-based many-objective evolutionary algorithm with two types of adjustments for direction vectors publication-title: IEEE Trans. Cybern. – volume: 34 start-page: 89 year: 2017 end-page: 102 ident: bib28 article-title: On the use of two reference points in decomposition based multiobjective evolutionary algorithms publication-title: Swarm Evol. Comput. – reference: H. Sato, 2014, Inverted PBI in MOEA/D and its impact on the search performance on multi and many-objective optimization, in Proc.Conf. Genet. Evol. Comput. (GECCO), V ancouver, BC, Canada, 2014,pp. 645–652, https://doi.org/10.1145/2576768.2598297. – volume: 243 start-page: 423 year: 2015 end-page: 441 ident: bib44 article-title: Preference-inspired co-evolutionary algorithms using weight vectors publication-title: Eur. J. Oper. Res. – start-page: 373 year: 2008 end-page: 404 ident: bib70 article-title: Quality assessment of Pareto set approximations publication-title: Multiobjective Optimization – volume: 18 start-page: 348 year: 2014 end-page: 365 ident: bib56 article-title: Shift-based density estimation for pareto-based algorithms in many-objective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 20 start-page: 821 year: 2016 end-page: 837 ident: bib31 article-title: Decomposition-based algorithms using pareto adaptive scalarizing methods publication-title: IEEE Trans. Evol. Comput. – volume: 52 start-page: 2698 year: 2022 end-page: 2711 ident: bib68 article-title: An adaptive reference vector-guided evolutionary algorithm using growing neural gas for many-objective optimization of irregular problems publication-title: IEEE Trans. Cybern. – volume: 21 start-page: 819 year: 2015 end-page: 849 ident: bib13 article-title: Analysis of inverted PBI and comparison with other scalarizing functions in decomposition based MOEAs publication-title: J. Heuristics – volume: 20 start-page: 645 year: 2016 end-page: 665 ident: bib57 article-title: Pareto or Non-Pareto: bi-criterion evolution in multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – year: 2020 ident: bib21 article-title: A survey of weight vector adjustment methods for decomposition based multi-objective evolutionary algorithms publication-title: IEEE Trans. Evolut. Comput. – volume: 509 year: 2019 ident: bib60 article-title: An angle dominance criterion for evolutionary many-objective optimization publication-title: Inf. Sci. – volume: 20 start-page: 475 year: 2016 end-page: 480 ident: bib27 article-title: Constrained subproblems in a decomposition-based multiobjective evolutionary algorithm publication-title: IEEE Trans. Evolut. Comput. – volume: 19 start-page: 45 year: 2011 end-page: 76 ident: bib4 article-title: Hype: an algorithm for fast hypervolume−based many-objective optimization publication-title: Evol. Comput. – volume: 20 start-page: 52 year: 2016 end-page: 64 ident: bib20 article-title: Are all the subproblems equally important? Resource allocation in decomposition-based multiobjective evolutionary algorithms publication-title: IEEE Trans. Evolut. Comput. – volume: 22 start-page: 3997 year: 2018 end-page: 4012 ident: bib47 article-title: Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts publication-title: Soft Comput. – year: 2020 ident: bib17 article-title: Research of strategies of maintaining population diversity for MOEA/D algorithm publication-title: Artif. Intell. Algorithms Appl. – volume: 20 start-page: 4005 year: 2016 end-page: 4021 ident: bib52 article-title: Decomposing the user preference in multiobjective optimization publication-title: Soft Comput. – start-page: 825 year: 2002 end-page: 830 ident: bib62 article-title: Scalable multi-objective optimization test problems publication-title: Evolut. Comput., 2002. CEC ’02. Proc. 2002 Congr. , 1 – year: 2019 ident: bib19 article-title: On balancing neighborhood and global replacement strategies in MOEA/D publication-title: IEEE Access – volume: 47 start-page: 721 year: 2017 end-page: 742 ident: bib54 article-title: Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition publication-title: Appl. Intell. – year: 2020 ident: bib18 article-title: Success-history based parameter adaptation in MOEA/D algorithm publication-title: Adv. Swarm Intell. – start-page: 59 year: 2019 end-page: 68 ident: bib16 article-title: Using two reproduction operators for balancing convergence and diversity in MOEA/D publication-title: Int. Conf. swarm Intell. – start-page: 1 year: 2016 end-page: 15 ident: bib24 article-title: Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes publication-title: Soft Comput. – volume: 136 year: 2023 ident: bib38 article-title: A Pareto Front grid guided multi-objective evolutionary algorithm publication-title: Appl. Soft Comput. – volume: 49 start-page: 517 year: 2019 end-page: 526 ident: bib49 article-title: MOEA/HD: a multiobjective evolutionary algorithm based on hierarchical decomposition publication-title: IEEE Trans. Cybern. – volume: 18 start-page: 577 year: 2014 end-page: 601 ident: bib2 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. – start-page: 248 year: 2015 end-page: 262 ident: bib32 article-title: Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms – volume: 21 start-page: 131 year: 2017 end-page: 152 ident: bib55 article-title: A vector angle-based evolutionary algorithm for unconstrained many-objective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 8 start-page: 1 year: 2016 end-page: 41 ident: bib30 article-title: Global WASF-GA: an evolutionary algorithm in multiobjective optimization to approximate the whole Pareto optimal front publication-title: Evol. Comput. – year: 2001 ident: bib1 article-title: Multi-objective optimization using evolutionary algorithms. 2001 – volume: 47 start-page: 2689 year: 2017 end-page: 2702 ident: bib53 article-title: A many-objective evolutionary algorithm using a one -by-one selection strategy publication-title: IEEE Trans. Cybern. – volume: 60 year: 2021 ident: bib66 article-title: A many-objective evolutionary algorithm based on rotation and decomposition publication-title: Swarm Evolut. Comput. – volume: 18 start-page: 602 year: 2014 end-page: 622 ident: bib33 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. Evolut. Comput. – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: bib3 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. – start-page: 1726 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib36 article-title: Adaptation of reference vectors for evolutionary many-objective optimization of problems with irregular pareto fronts publication-title: Congr. Evolut. Comput. – volume: 22 start-page: 821 issue: 6 year: 2018 ident: 10.1016/j.asoc.2024.112434_bib50 article-title: R-metric: evaluating the performance of preference-based evolutionary multi-objective optimization using reference points publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2017.2737781 – start-page: 1900 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib51 article-title: Evolutionary method for weight vector generation in multi-objective evolutionary algorithms based on decomposition and aggregation publication-title: Proc. IEEE Congr. Evol. Comput. (CEC) – volume: 47 start-page: 2689 issue: 9 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib53 article-title: A many-objective evolutionary algorithm using a one -by-one selection strategy publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2016.2638902 – volume: 22 start-page: 3997 issue: 12 year: 2018 ident: 10.1016/j.asoc.2024.112434_bib47 article-title: Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts publication-title: Soft Comput. doi: 10.1007/s00500-017-2609-4 – year: 2001 ident: 10.1016/j.asoc.2024.112434_bib1 – year: 2020 ident: 10.1016/j.asoc.2024.112434_bib59 article-title: A Novel Archive Maintenance for Adapting Weight Vectors in Decomposition-based Multi-objective Evolutionary Algorithms – year: 2019 ident: 10.1016/j.asoc.2024.112434_bib41 article-title: Many-Objective Evolutionary Algorithm Based On Decomposition With Random And Adaptive Weights – volume: 22 start-page: 231 issue: 2 year: 2014 ident: 10.1016/j.asoc.2024.112434_bib40 article-title: Moea/d with adaptive weight adjustment publication-title: Evolut. Comput. doi: 10.1162/EVCO_a_00109 – volume: 6 start-page: 402 issue: 4 year: 2002 ident: 10.1016/j.asoc.2024.112434_bib43 article-title: On the performance of multiple-objective genetic local search on the 0/1 knapsack problem—A comparative experiment publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2002.802873 – volume: 22 start-page: 609 issue: 4 year: 2018 ident: 10.1016/j.asoc.2024.112434_bib5 article-title: An indicator based multi-objective evolutionary algorithm with reference point adaptation for better versatility publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2017.2749619 – volume: 48 start-page: 2335 year: 2018 ident: 10.1016/j.asoc.2024.112434_bib23 article-title: A decomposition-based many-objective evolutionary algorithm with two types of adjustments for direction vectors publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2017.2737554 – volume: 26 start-page: 326 year: 1983 ident: 10.1016/j.asoc.2024.112434_bib58 article-title: An interactive weighted Tchebycheff procedure for multiple objective programming publication-title: Math. Program. doi: 10.1007/BF02591870 – start-page: 373 year: 2008 ident: 10.1016/j.asoc.2024.112434_bib70 article-title: Quality assessment of Pareto set approximations – ident: 10.1016/j.asoc.2024.112434_bib26 doi: 10.1145/2576768.2598297 – volume: 12 start-page: 73 issue: 4 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib69 article-title: Platemo: a matlab platform for evolutionary multi-objective optimization [educational forum] publication-title: IEEE Comput. Intell. Mag. doi: 10.1109/MCI.2017.2742868 – volume: 46 start-page: 421 issue: 2 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib11 article-title: An improved multiobjective optimization evolutionary algorithm based on decomposition for complex pareto fronts publication-title: IEEE Trans. Syst., Man, Cybern. – volume: 149 year: 2023 ident: 10.1016/j.asoc.2024.112434_bib39 article-title: Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2023.111006 – volume: 45 start-page: 2076 issue: 10 year: 2015 ident: 10.1016/j.asoc.2024.112434_bib6 article-title: Interrelationship-based selection for decomposition multiobjective optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2365354 – year: 2020 ident: 10.1016/j.asoc.2024.112434_bib18 article-title: Success-history based parameter adaptation in MOEA/D algorithm publication-title: Adv. Swarm Intell. doi: 10.1007/978-3-030-53956-6_41 – volume: 34 start-page: 89 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib28 article-title: On the use of two reference points in decomposition based multiobjective evolutionary algorithms publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2017.01.002 – start-page: 248 year: 2015 ident: 10.1016/j.asoc.2024.112434_bib32 – volume: 21 start-page: 131 issue: 1 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib55 article-title: A vector angle-based evolutionary algorithm for unconstrained many-objective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2016.2587808 – volume: 21 start-page: 819 year: 2015 ident: 10.1016/j.asoc.2024.112434_bib13 article-title: Analysis of inverted PBI and comparison with other scalarizing functions in decomposition based MOEAs publication-title: J. Heuristics doi: 10.1007/s10732-015-9301-6 – volume: 49 start-page: 517 issue: 2 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib49 article-title: MOEA/HD: a multiobjective evolutionary algorithm based on hierarchical decomposition publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2017.2779450 – volume: 20 start-page: 821 issue: 6 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib31 article-title: Decomposition-based algorithms using pareto adaptive scalarizing methods publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2016.2521175 – volume: 20 start-page: 4005 issue: 10 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib52 article-title: Decomposing the user preference in multiobjective optimization publication-title: Soft Comput. doi: 10.1007/s00500-015-1736-z – volume: 243 start-page: 423 issue: 2 year: 2015 ident: 10.1016/j.asoc.2024.112434_bib44 article-title: Preference-inspired co-evolutionary algorithms using weight vectors publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2014.05.019 – volume: 10 start-page: 477 issue: 5 year: 2006 ident: 10.1016/j.asoc.2024.112434_bib63 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 – volume: 128 year: 2022 ident: 10.1016/j.asoc.2024.112434_bib37 article-title: A decomposition-based many-objective evolutionary algorithm with adaptive weight vector strategy publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2022.109412 – volume: 19 start-page: 694 issue: 5 year: 2015 ident: 10.1016/j.asoc.2024.112434_bib64 article-title: An evolutionary many-objective optimization algorithm based on dominance and decomposition publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2014.2373386 – start-page: 978 year: 2015 ident: 10.1016/j.asoc.2024.112434_bib45 article-title: On the use of random weights in MOEA/D publication-title: Proc. IEEE Congr. Evol. Comput. (CEC) – start-page: 274 year: 2014 ident: 10.1016/j.asoc.2024.112434_bib10 article-title: Adaptive update range of solutions in MOEA/D for multi and many-objective optimization publication-title: Simula Evol. Learn. doi: 10.1007/978-3-319-13563-2_24 – start-page: 216 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib34 article-title: Indicator based weight adaptation for solving many-objective optimization problems publication-title: Proc. Evol. Multi Crit. Optim. (EMO) doi: 10.1007/978-3-030-12598-1_18 – volume: 20 start-page: 52 issue: 1 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib20 article-title: Are all the subproblems equally important? Resource allocation in decomposition-based multiobjective evolutionary algorithms publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2015.2424251 – volume: 60 year: 2021 ident: 10.1016/j.asoc.2024.112434_bib66 article-title: A many-objective evolutionary algorithm based on rotation and decomposition publication-title: Swarm Evolut. Comput. – year: 2020 ident: 10.1016/j.asoc.2024.112434_bib17 article-title: Research of strategies of maintaining population diversity for MOEA/D algorithm publication-title: Artif. Intell. Algorithms Appl. – volume: 20 start-page: 645 issue: 5 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib57 article-title: Pareto or Non-Pareto: bi-criterion evolution in multiobjective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2015.2504730 – volume: 19 start-page: 45 issue: 1 year: 2011 ident: 10.1016/j.asoc.2024.112434_bib4 article-title: Hype: an algorithm for fast hypervolume−based many-objective optimization publication-title: Evol. Comput. doi: 10.1162/EVCO_a_00009 – volume: 18 start-page: 909 issue: 6 year: 2014 ident: 10.1016/j.asoc.2024.112434_bib8 article-title: Stable matching-based selection in evolutionary multiobjective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2013.2293776 – volume: 11 start-page: 712 issue: 6 year: 2007 ident: 10.1016/j.asoc.2024.112434_bib9 article-title: Moea/d: A multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2007.892759 – start-page: 825 year: 2002 ident: 10.1016/j.asoc.2024.112434_bib62 article-title: Scalable multi-objective optimization test problems publication-title: Evolut. Comput., 2002. CEC ’02. Proc. 2002 Congr. , 1 – volume: 28 start-page: 227 issue: 2 year: 2020 ident: 10.1016/j.asoc.2024.112434_bib42 article-title: What weights work for you? adapting weights for any pareto front shape in decomposition-based evolutionary multi-objective optimisation publication-title: Evolut. Comput. doi: 10.1162/evco_a_00269 – volume: 24 start-page: 439 issue: 3 year: 2020 ident: 10.1016/j.asoc.2024.112434_bib67 article-title: Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts publication-title: IEEE Trans. Evolut. Comput. – start-page: 1 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib24 article-title: Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes publication-title: Soft Comput. – volume: 8 start-page: 1 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib30 article-title: Global WASF-GA: an evolutionary algorithm in multiobjective optimization to approximate the whole Pareto optimal front publication-title: Evol. Comput. – issue: 99 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib19 article-title: On balancing neighborhood and global replacement strategies in MOEA/D publication-title: IEEE Access – volume: 18 start-page: 348 issue: 3 year: 2014 ident: 10.1016/j.asoc.2024.112434_bib56 article-title: Shift-based density estimation for pareto-based algorithms in many-objective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2013.2262178 – volume: 20 start-page: 475 issue: 3 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib27 article-title: Constrained subproblems in a decomposition-based multiobjective evolutionary algorithm publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2015.2457616 – volume: 509 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib60 article-title: An angle dominance criterion for evolutionary many-objective optimization publication-title: Inf. Sci. – volume: 136 year: 2023 ident: 10.1016/j.asoc.2024.112434_bib38 article-title: A Pareto Front grid guided multi-objective evolutionary algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2023.110095 – volume: 47 start-page: 721 issue: 3 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib54 article-title: Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition publication-title: Appl. Intell. doi: 10.1007/s10489-017-0927-y – start-page: 77 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib12 article-title: MOEA/D with the online agglomerative clustering based self-adaptive mating restriction strategy publication-title: Neurocomputing – start-page: 1 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib14 article-title: Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes publication-title: Soft Comput. – volume: 21 start-page: 440 issue: 3 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib7 article-title: A survey of multiobjective evolutionary algorithms based on decomposition publication-title: IEEE Trans. Evolut. Comput. – volume: 501 start-page: 248 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib22 article-title: A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement publication-title: Inf. Sci. doi: 10.1016/j.ins.2019.05.083 – start-page: 842 year: 2018 ident: 10.1016/j.asoc.2024.112434_bib46 article-title: A parameterless decomposition-based evolutionary multi-objective algorithm publication-title: Proc. Int. Conf. Adv. Comput. Intell. – year: 2020 ident: 10.1016/j.asoc.2024.112434_bib15 article-title: An Improved MOEA/D algorithm with an adaptive evolutionary strategy publication-title: Inf. Sci. – start-page: 59 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib16 article-title: Using two reproduction operators for balancing convergence and diversity in MOEA/D publication-title: Int. Conf. swarm Intell. – volume: 23 start-page: 572 issue: 4 year: 2019 ident: 10.1016/j.asoc.2024.112434_bib48 article-title: A many-objective evolutionary algorithm with two interacting processes: Cascade clustering and reference point incremental learning publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2018.2874465 – volume: 18 start-page: 577 issue: 4 year: 2014 ident: 10.1016/j.asoc.2024.112434_bib2 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 – volume: 23 issue: 3 year: 2018 ident: 10.1016/j.asoc.2024.112434_bib65 article-title: Evolutionary many-objective optimization based on dynamical decomposition publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2018.2865590 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.asoc.2024.112434_bib3 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – start-page: 615 year: 2013 ident: 10.1016/j.asoc.2024.112434_bib25 article-title: Towards understanding the cost of adaptation in decomposition-based optimization algorithms – volume: 21 start-page: 220 issue: 2 year: 2017 ident: 10.1016/j.asoc.2024.112434_bib61 article-title: Many-objective evolutionary algorithms based on coordinated selection strategy publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2016.2598687 – volume: 62 start-page: 101 issue: 1 year: 2015 ident: 10.1016/j.asoc.2024.112434_bib29 article-title: A preference-based evolutionary algorithm for multiobjective optimization: The weighting achievement scalarizing function genetic algorithm publication-title: J. Glob. Optim. doi: 10.1007/s10898-014-0214-y – volume: 18 start-page: 602 issue: 4 year: 2014 ident: 10.1016/j.asoc.2024.112434_bib33 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. Evolut. Comput. doi: 10.1109/TEVC.2013.2281534 – issue: 99 year: 2020 ident: 10.1016/j.asoc.2024.112434_bib21 article-title: A survey of weight vector adjustment methods for decomposition based multi-objective evolutionary algorithms publication-title: IEEE Trans. Evolut. Comput. – volume: 52 start-page: 2698 issue: 5 year: 2022 ident: 10.1016/j.asoc.2024.112434_bib68 article-title: An adaptive reference vector-guided evolutionary algorithm using growing neural gas for many-objective optimization of irregular problems publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2020.3020630 – volume: 20 start-page: 773 issue: 5 year: 2016 ident: 10.1016/j.asoc.2024.112434_bib35 article-title: A reference vector guided evolutionary algorithm for many-objective optimization publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2016.2519378 |
| SSID | ssj0016928 |
| Score | 2.447678 |
| Snippet | In order to better balance the convergence and diversity of MOEA/D for many objective optimization problems (MaOPs) with various Pareto fronts (PFs), an... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 112434 |
| SubjectTerms | Adaptive weight vector adjustment Dual-density judgment Many-objective optimization Two-stage strategy |
| Title | Adaptive decomposition-based evolutionary algorithm for many-objective optimization with two-stage dual-density judgment |
| URI | https://dx.doi.org/10.1016/j.asoc.2024.112434 |
| Volume | 167 |
| WOSCitedRecordID | wos001356153500001&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 issn: 1568-4946 databaseCode: AIEXJ dateStart: 20010601 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0016928 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Pb9MwFLZg48AFxi9tsCEfuFWeEidx7GM1bQKEJiQGKlwix3FKojYpbTL65-85sbOumyZA4hJVVmxX7316-fz82Q-hdxHjOqCCE50zTkLpS8KV8AhwEbNtA4yjq9bw7VN8fs4nE_HZyppXXTmBuKr4ei0W_9XV0AbONkdn_8Ldw6DQAL_B6fAEt8Pzjxw_zuSi0wNl2ujFrSiLmM9VNtKXdm4jlpOzab0smp_zTms4h7BA6rTsI-CohkHm9pCmzdb-rglwySmM3MoZyYz0HSh82WbTQT7j7rO13HYFQb5TrbeN-0R2G1BdqPteV9OyvZYEFW0HqUL-KrbafrTuPZufoOGW1uP2wZk-zhpkCJt9dIG4L8xxK6j3-YXyWAJej80U5txTaHOgNy_L_mIGNuMCUfEpsOGHaJfGkYAIuDv-cDr5OOwwMdHV3R3-iD1Q1Wv_tme6m7RsEJGLPfTEriDwuPf8M_RAV8_RU1edA9tg_QKtHRDwHUDAm0DAAxAwAAHfBALeBAI2QMADEPAmELADwkv09ez04uQ9sXU2iAo8ryEs49r3BM2DTLBcc63AHnmsYxrR3OeShtrTgQLmqlQEfDdNfRlr5imlUljwsuAV2qnqSu8jHFItw1SynGd5qClP0yiHFUjAc66lx_gB8p0hE2UvoTe1UGaJUxuWiTF-Yoyf9MY_QKOhz6K_guXetyPnn8SSyJ4cJgCne_q9_sd-b9Dja9Qfop1m2eoj9EhdNsVq-dai7gorPJ1t |
| 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=Adaptive+decomposition-based+evolutionary+algorithm+for+many-objective+optimization+with+two-stage+dual-density+judgment&rft.jtitle=Applied+soft+computing&rft.au=Sun%2C+Yongjun&rft.au=Liu%2C+Jiaqi&rft.au=Liu%2C+Zujun&rft.date=2024-12-01&rft.pub=Elsevier+B.V&rft.issn=1568-4946&rft.volume=167&rft_id=info:doi/10.1016%2Fj.asoc.2024.112434&rft.externalDocID=S1568494624012080 |
| 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 |