Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem
Constrained multi-objective optimization problems require optimizing and solving multiple objectives while satisfying the constraints. However, in the process of solving this problem, some constraints created infeasible obstacle regions, which led to the neglect of a portion of the constrained Paret...
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| Veröffentlicht in: | Swarm and evolutionary computation Jg. 95; S. 101912 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Elsevier B.V
01.06.2025
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| ISSN: | 2210-6502 |
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| Abstract | Constrained multi-objective optimization problems require optimizing and solving multiple objectives while satisfying the constraints. However, in the process of solving this problem, some constraints created infeasible obstacle regions, which led to the neglect of a portion of the constrained Pareto front (CPF). In order to solve this problem, A novel decomposition-based dual-population constrained multi-objective evolutionary algorithm (DD-CMOEA) is proposed. DD-CMOEA adopts a dual population collaborative search strategy, which can quickly find CPF. In the first stage, DD-CMOEA conducts dual population searches on CPF and unconstrained Pareto front (UPF) separately. During the search process, sub-population A uses unconstrained global exploration to obtain information that helps sub-population B jump through infeasible obstacle areas. In the second stage, when the convergence of the sub-population searching for UPF stagnates, the angle-based constraint advantage principle is used for reverse search. It ensures that the searched CPF solution set can be evenly distributed throughout the entire search space. The experimental results on three standard benchmark function suites show that DD-CMOEA outperforms the other six state-of-the-art algorithms in solving constrained multi-objective optimization problems. |
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| AbstractList | Constrained multi-objective optimization problems require optimizing and solving multiple objectives while satisfying the constraints. However, in the process of solving this problem, some constraints created infeasible obstacle regions, which led to the neglect of a portion of the constrained Pareto front (CPF). In order to solve this problem, A novel decomposition-based dual-population constrained multi-objective evolutionary algorithm (DD-CMOEA) is proposed. DD-CMOEA adopts a dual population collaborative search strategy, which can quickly find CPF. In the first stage, DD-CMOEA conducts dual population searches on CPF and unconstrained Pareto front (UPF) separately. During the search process, sub-population A uses unconstrained global exploration to obtain information that helps sub-population B jump through infeasible obstacle areas. In the second stage, when the convergence of the sub-population searching for UPF stagnates, the angle-based constraint advantage principle is used for reverse search. It ensures that the searched CPF solution set can be evenly distributed throughout the entire search space. The experimental results on three standard benchmark function suites show that DD-CMOEA outperforms the other six state-of-the-art algorithms in solving constrained multi-objective optimization problems. |
| ArticleNumber | 101912 |
| Author | Bai, Wen Wang, Yufeng Dong, Wenyong Zheng, Ke Xu, Chunyu Zhang, Yong |
| Author_xml | – sequence: 1 givenname: Yufeng orcidid: 0000-0003-1321-1993 surname: Wang fullname: Wang, Yufeng organization: Nanyang Institute of Technology, Nanyang, 473000, Henan, China – sequence: 2 givenname: Yong surname: Zhang fullname: Zhang, Yong email: zhangyong16363@163.com organization: Nanyang Institute of Technology, Nanyang, 473000, Henan, China – sequence: 3 givenname: Chunyu surname: Xu fullname: Xu, Chunyu organization: Nanyang Institute of Technology, Nanyang, 473000, Henan, China – sequence: 4 givenname: Wen surname: Bai fullname: Bai, Wen organization: Nanyang Institute of Technology, Nanyang, 473000, Henan, China – sequence: 5 givenname: Ke surname: Zheng fullname: Zheng, Ke organization: Nanyang Institute of Technology, Nanyang, 473000, Henan, China – sequence: 6 givenname: Wenyong surname: Dong fullname: Dong, Wenyong organization: Wuhan University, Wuhan, 430072, Hubei, China |
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| Cites_doi | 10.1016/j.swevo.2022.101162 10.1109/TEVC.2015.2504730 10.1016/j.knosys.2021.107131 10.1007/978-3-642-00619-7_7 10.1142/S021800141000797X 10.1109/TEVC.2019.2896967 10.1109/TEVC.2022.3145582 10.1109/TEVC.2022.3190401 10.1109/TEVC.2019.2894743 10.1109/MCI.2017.2742868 10.1007/s00500-019-03794-x 10.1007/s00500-021-05880-5 10.1109/TEVC.2007.892759 10.1109/TEVC.2020.3004012 10.1109/ACCESS.2020.2973670 10.1016/j.camwa.2011.11.057 10.1109/TCYB.2020.3031642 10.1109/TCYB.2021.3056176 10.1162/evco_a_00259 10.1109/TEVC.2022.3194729 10.1007/BF01195989 10.1109/4235.797969 10.1007/s00500-020-04835-6 10.1109/TCYB.2022.3178132 10.1109/TEVC.2003.810761 10.1109/JAS.2023.123336 10.1016/j.swevo.2011.03.001 10.1080/0305215X.2010.493937 10.1007/s10589-012-9498-3 10.1016/j.asoc.2013.03.013 10.1109/TSMC.2023.3324797 10.1016/j.swevo.2021.100961 10.1016/j.swevo.2018.08.017 10.1016/j.asoc.2019.02.041 10.1109/TCYB.2021.3089633 10.1109/TSMC.2021.3061698 10.1109/TMAG.2004.825006 10.1016/j.swevo.2013.12.002 10.1109/4235.996017 10.1016/j.ins.2023.119591 10.1109/TSMC.2019.2943973 10.1109/TEVC.2021.3066301 |
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| Keywords | Two stage Constrained multi-objective evolutionary algorithm Dual-population Angle-based constraint dominance principle |
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| References | Ray, Singh, Isaacs, Smith (b23) 2009; 198 Li, Yang, Liu (b33) 2016; 20 Vieira, Adriano, Vasconcelos, Krahenbuhl (b24) 2004; 40 Liu, Wang (b27) 2019; 23 Tian, Cheng, Zhang, Jin (b31) 2017; 12 Zhou, Zhang, Wang, Nagaratnam (b34) 2024; 54 Takahama, Sakai (b14) 2006 Wang, Zhang, Yang (b22) 2013; 13 Qiao, Liang, Liu, Yu, Yue, Qu (b46) 2023; 10 Jiao, Zeng, Li, Yang, Ong (b19) 2021; 51 Wei, Wang (b13) 2010; 24 Ali, Zhu (b21) 2013; 54 Qiao, Yu, Qu, Liang, Song, Yue (b45) 2022; 26 Yu, Liang, Qu, Luo, Yue (b12) 2021; 52 Pant, Zaheer, Garcia-Hernandez, Abraham (b39) 2020; 90 Stanovov, Akhmedova, Semenkin (b15) 2020; 24 Xu, Xu, Ma (b7) 2020; 8 Tian, Zhang, Xiao, Zhang, Jin (b43) 2021; 25 Zitzler, Thiele (b38) 1999; 3 Qu, Suganthan (b26) 2010; 43 Haynes (b47) 2013 Yi, Yang, Huang, Wang (b9) 2023; 53 Fan, Li, Cai, Li, Wei, Zhang, Deb, Goodman (b35) 2020; 28 Bosman, Thierens (b37) 2003; 7 Chiandussi, Codegone, Ferrero, Varesio (b50) 2012; 63 Deb, Goyal (b41) 1996; 26 Long (b25) 2014; 15 Ma, Wang, Song (b11) 2021; 51 Ma, Wang (b36) 2019; 23 Q.Ye W. Wang, Li, Dai (b3) 2024; 664 Jiao, Xue, Zhang (b30) 2023; 53 Gu, Bai, Li, Xiong, Lu (b8) 2022; 75 Zhou, Qu, Li, Zhao, Suganthan, Zhang (b1) 2011; 1 Zhou, Zou, Zheng, Yang, Gong, Pei (b16) 2021; 25 Ming, Trivedi, Wang, Srinivasan, Zhang (b44) 2021; 25 Deb, Agrawal (b40) 1995; 9 Wang, Cai, Li, Pedrycz (b2) 2021; 227 Kumar, Wu, Ali, Luo, Mallipeddi, Suganthan, Das (b48) 2021; 67 Zhou, Zhang, Suganthan (b32) 2023; 648 Liu, Qin, Song, Zhang, Li (b4) 2023; 27 Zhou, Zhang, Zheng, Li (b29) 2023; 27 Narayanan, Azarm (b49) 1999; 18 Yang, Liu, Tan, Wang (b18) 2019; 80 Zhang, Li (b6) 2007; 11 Zhou, Qu, Li, Zhao, Suganthan, Zhang (b5) 2011; 1 Deb, Pratap, Agarwal, Meyarivan (b10) 2002; 6 Liu, Wang, Tang (b42) 2022; 52 Farahmand-Tabar, Sadrekarimi (b20) 2023 Fan, Li, Cai, Huang, Fang, You, Mo, Wei, Goodman (b17) 2019; 23 Fan, Li, Cai, Li, Wei, Zhang, Deb, Goodman (b28) 2019; 44 Liu (10.1016/j.swevo.2025.101912_b4) 2023; 27 Qu (10.1016/j.swevo.2025.101912_b26) 2010; 43 Qiao (10.1016/j.swevo.2025.101912_b45) 2022; 26 Ali (10.1016/j.swevo.2025.101912_b21) 2013; 54 Ma (10.1016/j.swevo.2025.101912_b36) 2019; 23 Deb (10.1016/j.swevo.2025.101912_b41) 1996; 26 Fan (10.1016/j.swevo.2025.101912_b28) 2019; 44 Ma (10.1016/j.swevo.2025.101912_b11) 2021; 51 Wei (10.1016/j.swevo.2025.101912_b13) 2010; 24 Jiao (10.1016/j.swevo.2025.101912_b30) 2023; 53 Liu (10.1016/j.swevo.2025.101912_b42) 2022; 52 Yi (10.1016/j.swevo.2025.101912_b9) 2023; 53 Farahmand-Tabar (10.1016/j.swevo.2025.101912_b20) 2023 Ming (10.1016/j.swevo.2025.101912_b44) 2021; 25 Zhou (10.1016/j.swevo.2025.101912_b5) 2011; 1 Yu (10.1016/j.swevo.2025.101912_b12) 2021; 52 Long (10.1016/j.swevo.2025.101912_b25) 2014; 15 Ray (10.1016/j.swevo.2025.101912_b23) 2009; 198 Liu (10.1016/j.swevo.2025.101912_b27) 2019; 23 Zhou (10.1016/j.swevo.2025.101912_b32) 2023; 648 Wang (10.1016/j.swevo.2025.101912_b2) 2021; 227 Gu (10.1016/j.swevo.2025.101912_b8) 2022; 75 Zhou (10.1016/j.swevo.2025.101912_b34) 2024; 54 Bosman (10.1016/j.swevo.2025.101912_b37) 2003; 7 Deb (10.1016/j.swevo.2025.101912_b40) 1995; 9 Q.Ye W. Wang (10.1016/j.swevo.2025.101912_b3) 2024; 664 Wang (10.1016/j.swevo.2025.101912_b22) 2013; 13 Vieira (10.1016/j.swevo.2025.101912_b24) 2004; 40 Zhou (10.1016/j.swevo.2025.101912_b1) 2011; 1 Tian (10.1016/j.swevo.2025.101912_b43) 2021; 25 Yang (10.1016/j.swevo.2025.101912_b18) 2019; 80 Fan (10.1016/j.swevo.2025.101912_b35) 2020; 28 Zhou (10.1016/j.swevo.2025.101912_b16) 2021; 25 Li (10.1016/j.swevo.2025.101912_b33) 2016; 20 Haynes (10.1016/j.swevo.2025.101912_b47) 2013 Zitzler (10.1016/j.swevo.2025.101912_b38) 1999; 3 Deb (10.1016/j.swevo.2025.101912_b10) 2002; 6 Pant (10.1016/j.swevo.2025.101912_b39) 2020; 90 Narayanan (10.1016/j.swevo.2025.101912_b49) 1999; 18 Chiandussi (10.1016/j.swevo.2025.101912_b50) 2012; 63 Jiao (10.1016/j.swevo.2025.101912_b19) 2021; 51 Stanovov (10.1016/j.swevo.2025.101912_b15) 2020; 24 Zhang (10.1016/j.swevo.2025.101912_b6) 2007; 11 Qiao (10.1016/j.swevo.2025.101912_b46) 2023; 10 Xu (10.1016/j.swevo.2025.101912_b7) 2020; 8 Takahama (10.1016/j.swevo.2025.101912_b14) 2006 Zhou (10.1016/j.swevo.2025.101912_b29) 2023; 27 Tian (10.1016/j.swevo.2025.101912_b31) 2017; 12 Kumar (10.1016/j.swevo.2025.101912_b48) 2021; 67 Fan (10.1016/j.swevo.2025.101912_b17) 2019; 23 |
| References_xml | – volume: 80 start-page: 42 year: 2019 end-page: 56 ident: b18 article-title: A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio publication-title: Appl. Soft Comput. – volume: 23 start-page: 972 year: 2019 end-page: 986 ident: b36 article-title: Evolutionary constrained multiobjective optimization: Test suite construction and performance comparisons publication-title: IEEE Trans. Evol. Comput. – volume: 54 start-page: 707 year: 2013 end-page: 739 ident: b21 article-title: A penalty function-based differential evolution algorithm for constrained global optimization publication-title: Comput. Optim. Appl. – volume: 53 start-page: 88 year: 2023 end-page: 101 ident: b9 article-title: Balancing constraints and objectives by considering problem types in constrained multiobjective optimization publication-title: IEEE Trans. Cybern. – volume: 227 year: 2021 ident: b2 article-title: Constraint handling technique based on Lebesgue measure for constrained multiobjective particle swarm optimization algorithm publication-title: Knowl.-Based Syst. – volume: 40 start-page: 1188 year: 2004 end-page: 1191 ident: b24 article-title: Treating constraints as objectives in multiobjective optimization problems using niched Pareto genetic algorithm publication-title: IEEE Trans. Magn. – volume: 23 start-page: 870 year: 2019 end-page: 884 ident: b27 article-title: Handling constrained multiobjective optimization problems with constraints in both the decision and objective spaces publication-title: IEEE Trans. Evol. Comput. – volume: 44 start-page: 665 year: 2019 end-page: 679 ident: b28 article-title: Push and pull search for solving constrained multi-objective optimization problems publication-title: Swarm Evol. Comput. – volume: 12 start-page: 73 year: 2017 end-page: 87 ident: b31 article-title: PlatEMO: a MATLAB platform for evolutionary multi-objective optimization publication-title: IEEE Comput. Intell. M. – volume: 23 start-page: 12491 year: 2019 end-page: 12510 ident: b17 article-title: An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions publication-title: Soft Comput. – volume: 67 year: 2021 ident: b48 article-title: A benchmark-suite of real-world constrained multi-objective optimization problems and some baseline results publication-title: Swarm Evol. Comput. – volume: 24 start-page: 381 year: 2010 end-page: 400 ident: b13 article-title: An infeasible elitist based particle swarm optimization for constrained multiobjective optimization and its convergence publication-title: Int. J. Pattern Recognit. Artif. Intell. – start-page: 1 year: 2023 end-page: 26 ident: b20 publication-title: Overcoming Constraints: The Critical Role of Penalty Functions As Constraint-Handling Methods in Structural Optimization – volume: 26 start-page: 30 year: 1996 end-page: 45 ident: b41 article-title: A combined genetic adaptive search (GeneAS) for engineering design publication-title: Sci. Inform. – volume: 11 start-page: 712 year: 2007 end-page: 731 ident: b6 article-title: MOEA/D: A multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evol. Comput. – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: b10 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. – volume: 10 start-page: 1951 year: 2023 end-page: 1964 ident: b46 article-title: Evolutionary multitasking with global and local auxiliary tasks for constrained multi-objective optimization publication-title: IEEE/ CAA J. Autom. Sin. – volume: 25 start-page: 739 year: 2021 end-page: 753 ident: b44 article-title: A dual-population-based evolutionary algorithm for constrained multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 7 start-page: 174 year: 2003 end-page: 188 ident: b37 article-title: The balance between proximity and diversity in multiobjective evolutionary algorithms publication-title: IEEE Trans. Evol. Comput. – volume: 1 start-page: 32 year: 2011 end-page: 49 ident: b1 article-title: Multiobjective optimization, evolutionary multiobjective optimization, Multiobjective evolutionary algorithms, Multicriteria decision making publication-title: Swarm Evol. Comput. – year: 2013 ident: b47 article-title: Wilcoxon Rank Sum Test – volume: 25 start-page: 8051 year: 2021 end-page: 8062 ident: b16 article-title: An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization publication-title: Soft Comput. – volume: 27 start-page: 993 year: 2023 end-page: 1004 ident: b29 article-title: Domination-based selection and shift-based density estimation for constrained multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 26 start-page: 263 year: 2022 end-page: 277 ident: b45 article-title: An evolutionary multitasking optimization framework for constrained multiobjective optimization problems publication-title: IEEE Trans. Evol. Comput. – volume: 198 start-page: 145 year: 2009 end-page: 165 ident: b23 article-title: Infeasibility driven evolutionary algorithm for constrained optimization, Constraint-handling in evolutionary optimization publication-title: Stud. Comput. Intell. – volume: 664 year: 2024 ident: b3 article-title: A self-organizing assisted multi-task algorithm for constrained multi-objective optimization problems publication-title: Inform. Sci. – volume: 8 start-page: 41588 year: 2020 end-page: 41614 ident: b7 article-title: A survey of multiobjective evolutionary algorithms based on decomposition: Variants, challenges and future directions publication-title: IEEE Access – volume: 75 year: 2022 ident: b8 article-title: A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle publication-title: Swarm Evol. Comput. – volume: 52 start-page: 10163 year: 2022 end-page: 10176 ident: b42 article-title: Handling constrained multiobjective optimization problems via bidirectional coevolution publication-title: IEEE Trans. Cybern. – volume: 90 year: 2020 ident: b39 article-title: Differential evolution: A review of more than two decades of research publication-title: Eng. Appl. Artif. Intell. – volume: 43 start-page: 403 year: 2010 end-page: 416 ident: b26 article-title: Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods publication-title: Eng. Optim. – volume: 52 start-page: 2954 year: 2021 end-page: 2965 ident: b12 article-title: Dynamic selection preference-assisted constrained multiobjective differential evolution publication-title: IEEE Trans. Syst. Man Cybern.: Syst. – volume: 15 start-page: 66 year: 2014 end-page: 79 ident: b25 article-title: A constraint handling technique for constrained multi-objective genetic algorithm publication-title: Swarm Evol. Comput. – volume: 24 start-page: 7063 year: 2020 end-page: 7079 ident: b15 article-title: Combined fitness–violation epsilon constraint handling for differential evolution publication-title: Soft Comput. – volume: 63 start-page: 912 year: 2012 end-page: 942 ident: b50 article-title: Comparison of multi-objective optimization methodologies for engineering applications publication-title: Comput. Math. Appl. – volume: 25 start-page: 102 year: 2021 end-page: 116 ident: b43 article-title: A coevolutionary framework for constrained multiobjective optimization problems publication-title: IEEE Trans. Evol. Comput. – volume: 20 start-page: 645 year: 2016 end-page: 665 ident: b33 article-title: Pareto or non-Pareto: Bi-criterion evolution in multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 51 start-page: 5005 year: 2021 end-page: 5016 ident: b11 article-title: A new fitness function with two rankings for evolutionary constrained multiobjective optimization publication-title: IEEE Trans. Syst. Man Cybern.: Syst. – volume: 27 start-page: 1370 year: 2023 end-page: 1384 ident: b4 article-title: Multiobjective-based constraint-handling technique for evolutionary constrained multiobjective optimization: A new perspective publication-title: IEEE Trans. Evol. Comput. – volume: 1 start-page: 32 year: 2011 end-page: 49 ident: b5 article-title: Multiobjective evolutionary algorithms: A survey of the state of the art publication-title: Swarm Evol. Comput. – volume: 18 start-page: 146 year: 1999 end-page: 155 ident: b49 article-title: On improving multiobjective genetic algorithms for design optimization publication-title: Struct. Optim. – volume: 53 start-page: 5165 year: 2023 end-page: 5177 ident: b30 article-title: A multiform optimization framework for constrained multiobjective optimization publication-title: IEEE Trans. Cybern. – volume: 3 start-page: 257 year: 1999 end-page: 271 ident: b38 article-title: Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach publication-title: IEEE Trans. Evol. Comput. – volume: 13 start-page: 3636 year: 2013 end-page: 3645 ident: b22 article-title: A hybrid genetic algorithm for constrained multi-objective optimization under uncertainty and target matching problems publication-title: Appl. Soft Comput. – volume: 54 start-page: 1376 year: 2024 end-page: 1387 ident: b34 article-title: Localized constrained-domination principle for constrained multiobjective optimization publication-title: IEEE Trans. Syst. Man Cybern.: Syst. – volume: 9 start-page: 115 year: 1995 end-page: 148 ident: b40 article-title: Simulated binary crossover for continuous search space publication-title: Complex Syst. – volume: 648 year: 2023 ident: b32 article-title: Dual population approximate constrained Pareto front for constrained multiobjective optimization publication-title: Inf. Sci. – volume: 28 start-page: 339 year: 2020 end-page: 378 ident: b35 article-title: Difficulty adjustable and scalable constrained multiobjective test problem toolkit publication-title: Evol. Comput. – volume: 51 start-page: 4834 year: 2021 end-page: 4847 ident: b19 article-title: Handling constrained many-objective optimization problems via problem transformation publication-title: IEEE Trans. Cybern. – start-page: 1 year: 2006 end-page: 8 ident: b14 article-title: Constrained optimization by the publication-title: 2006 IEEE International Conference on Evolutionary Computation – volume: 75 year: 2022 ident: 10.1016/j.swevo.2025.101912_b8 article-title: A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2022.101162 – volume: 20 start-page: 645 issue: 5 year: 2016 ident: 10.1016/j.swevo.2025.101912_b33 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: 227 year: 2021 ident: 10.1016/j.swevo.2025.101912_b2 article-title: Constraint handling technique based on Lebesgue measure for constrained multiobjective particle swarm optimization algorithm publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2021.107131 – volume: 198 start-page: 145 year: 2009 ident: 10.1016/j.swevo.2025.101912_b23 article-title: Infeasibility driven evolutionary algorithm for constrained optimization, Constraint-handling in evolutionary optimization publication-title: Stud. Comput. Intell. doi: 10.1007/978-3-642-00619-7_7 – volume: 24 start-page: 381 issue: 03 year: 2010 ident: 10.1016/j.swevo.2025.101912_b13 article-title: An infeasible elitist based particle swarm optimization for constrained multiobjective optimization and its convergence publication-title: Int. J. Pattern Recognit. Artif. Intell. doi: 10.1142/S021800141000797X – volume: 23 start-page: 972 issue: 6 year: 2019 ident: 10.1016/j.swevo.2025.101912_b36 article-title: Evolutionary constrained multiobjective optimization: Test suite construction and performance comparisons publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2019.2896967 – volume: 26 start-page: 263 issue: 2 year: 2022 ident: 10.1016/j.swevo.2025.101912_b45 article-title: An evolutionary multitasking optimization framework for constrained multiobjective optimization problems publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2022.3145582 – volume: 27 start-page: 993 issue: 4 year: 2023 ident: 10.1016/j.swevo.2025.101912_b29 article-title: Domination-based selection and shift-based density estimation for constrained multiobjective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2022.3190401 – volume: 23 start-page: 870 issue: 5 year: 2019 ident: 10.1016/j.swevo.2025.101912_b27 article-title: Handling constrained multiobjective optimization problems with constraints in both the decision and objective spaces publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2019.2894743 – volume: 664 year: 2024 ident: 10.1016/j.swevo.2025.101912_b3 article-title: A self-organizing assisted multi-task algorithm for constrained multi-objective optimization problems publication-title: Inform. Sci. – start-page: 1 year: 2023 ident: 10.1016/j.swevo.2025.101912_b20 – volume: 12 start-page: 73 issue: 4 year: 2017 ident: 10.1016/j.swevo.2025.101912_b31 article-title: PlatEMO: a MATLAB platform for evolutionary multi-objective optimization publication-title: IEEE Comput. Intell. M. doi: 10.1109/MCI.2017.2742868 – volume: 26 start-page: 30 issue: 4 year: 1996 ident: 10.1016/j.swevo.2025.101912_b41 article-title: A combined genetic adaptive search (GeneAS) for engineering design publication-title: Sci. Inform. – volume: 23 start-page: 12491 year: 2019 ident: 10.1016/j.swevo.2025.101912_b17 article-title: An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions publication-title: Soft Comput. doi: 10.1007/s00500-019-03794-x – volume: 25 start-page: 8051 year: 2021 ident: 10.1016/j.swevo.2025.101912_b16 article-title: An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization publication-title: Soft Comput. doi: 10.1007/s00500-021-05880-5 – volume: 11 start-page: 712 issue: 6 year: 2007 ident: 10.1016/j.swevo.2025.101912_b6 article-title: MOEA/D: A multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2007.892759 – volume: 9 start-page: 115 year: 1995 ident: 10.1016/j.swevo.2025.101912_b40 article-title: Simulated binary crossover for continuous search space publication-title: Complex Syst. – volume: 25 start-page: 102 issue: 1 year: 2021 ident: 10.1016/j.swevo.2025.101912_b43 article-title: A coevolutionary framework for constrained multiobjective optimization problems publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2020.3004012 – volume: 8 start-page: 41588 year: 2020 ident: 10.1016/j.swevo.2025.101912_b7 article-title: A survey of multiobjective evolutionary algorithms based on decomposition: Variants, challenges and future directions publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2973670 – volume: 63 start-page: 912 year: 2012 ident: 10.1016/j.swevo.2025.101912_b50 article-title: Comparison of multi-objective optimization methodologies for engineering applications publication-title: Comput. Math. Appl. doi: 10.1016/j.camwa.2011.11.057 – volume: 51 start-page: 4834 issue: 10 year: 2021 ident: 10.1016/j.swevo.2025.101912_b19 article-title: Handling constrained many-objective optimization problems via problem transformation publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2020.3031642 – volume: 52 start-page: 10163 issue: 10 year: 2022 ident: 10.1016/j.swevo.2025.101912_b42 article-title: Handling constrained multiobjective optimization problems via bidirectional coevolution publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2021.3056176 – volume: 28 start-page: 339 issue: 3 year: 2020 ident: 10.1016/j.swevo.2025.101912_b35 article-title: Difficulty adjustable and scalable constrained multiobjective test problem toolkit publication-title: Evol. Comput. doi: 10.1162/evco_a_00259 – volume: 27 start-page: 1370 issue: 5 year: 2023 ident: 10.1016/j.swevo.2025.101912_b4 article-title: Multiobjective-based constraint-handling technique for evolutionary constrained multiobjective optimization: A new perspective publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2022.3194729 – volume: 18 start-page: 146 year: 1999 ident: 10.1016/j.swevo.2025.101912_b49 article-title: On improving multiobjective genetic algorithms for design optimization publication-title: Struct. Optim. doi: 10.1007/BF01195989 – volume: 3 start-page: 257 issue: 4 year: 1999 ident: 10.1016/j.swevo.2025.101912_b38 article-title: Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.797969 – year: 2013 ident: 10.1016/j.swevo.2025.101912_b47 – volume: 24 start-page: 7063 year: 2020 ident: 10.1016/j.swevo.2025.101912_b15 article-title: Combined fitness–violation epsilon constraint handling for differential evolution publication-title: Soft Comput. doi: 10.1007/s00500-020-04835-6 – volume: 53 start-page: 5165 issue: 8 year: 2023 ident: 10.1016/j.swevo.2025.101912_b30 article-title: A multiform optimization framework for constrained multiobjective optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2022.3178132 – volume: 7 start-page: 174 issue: 2 year: 2003 ident: 10.1016/j.swevo.2025.101912_b37 article-title: The balance between proximity and diversity in multiobjective evolutionary algorithms publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2003.810761 – volume: 10 start-page: 1951 issue: 10 year: 2023 ident: 10.1016/j.swevo.2025.101912_b46 article-title: Evolutionary multitasking with global and local auxiliary tasks for constrained multi-objective optimization publication-title: IEEE/ CAA J. Autom. Sin. doi: 10.1109/JAS.2023.123336 – volume: 1 start-page: 32 issue: 1 year: 2011 ident: 10.1016/j.swevo.2025.101912_b1 article-title: Multiobjective optimization, evolutionary multiobjective optimization, Multiobjective evolutionary algorithms, Multicriteria decision making publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.03.001 – volume: 43 start-page: 403 issue: 4 year: 2010 ident: 10.1016/j.swevo.2025.101912_b26 article-title: Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods publication-title: Eng. Optim. doi: 10.1080/0305215X.2010.493937 – volume: 54 start-page: 707 year: 2013 ident: 10.1016/j.swevo.2025.101912_b21 article-title: A penalty function-based differential evolution algorithm for constrained global optimization publication-title: Comput. Optim. Appl. doi: 10.1007/s10589-012-9498-3 – volume: 13 start-page: 3636 issue: 8 year: 2013 ident: 10.1016/j.swevo.2025.101912_b22 article-title: A hybrid genetic algorithm for constrained multi-objective optimization under uncertainty and target matching problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2013.03.013 – volume: 54 start-page: 1376 issue: 3 year: 2024 ident: 10.1016/j.swevo.2025.101912_b34 article-title: Localized constrained-domination principle for constrained multiobjective optimization publication-title: IEEE Trans. Syst. Man Cybern.: Syst. doi: 10.1109/TSMC.2023.3324797 – volume: 67 year: 2021 ident: 10.1016/j.swevo.2025.101912_b48 article-title: A benchmark-suite of real-world constrained multi-objective optimization problems and some baseline results publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2021.100961 – volume: 44 start-page: 665 year: 2019 ident: 10.1016/j.swevo.2025.101912_b28 article-title: Push and pull search for solving constrained multi-objective optimization problems publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2018.08.017 – volume: 80 start-page: 42 year: 2019 ident: 10.1016/j.swevo.2025.101912_b18 article-title: A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2019.02.041 – volume: 53 start-page: 88 issue: 1 year: 2023 ident: 10.1016/j.swevo.2025.101912_b9 article-title: Balancing constraints and objectives by considering problem types in constrained multiobjective optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2021.3089633 – volume: 52 start-page: 2954 issue: 5 year: 2021 ident: 10.1016/j.swevo.2025.101912_b12 article-title: Dynamic selection preference-assisted constrained multiobjective differential evolution publication-title: IEEE Trans. Syst. Man Cybern.: Syst. doi: 10.1109/TSMC.2021.3061698 – volume: 40 start-page: 1188 issue: 2 year: 2004 ident: 10.1016/j.swevo.2025.101912_b24 article-title: Treating constraints as objectives in multiobjective optimization problems using niched Pareto genetic algorithm publication-title: IEEE Trans. Magn. doi: 10.1109/TMAG.2004.825006 – volume: 15 start-page: 66 year: 2014 ident: 10.1016/j.swevo.2025.101912_b25 article-title: A constraint handling technique for constrained multi-objective genetic algorithm publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2013.12.002 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.swevo.2025.101912_b10 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – volume: 648 year: 2023 ident: 10.1016/j.swevo.2025.101912_b32 article-title: Dual population approximate constrained Pareto front for constrained multiobjective optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2023.119591 – volume: 90 year: 2020 ident: 10.1016/j.swevo.2025.101912_b39 article-title: Differential evolution: A review of more than two decades of research publication-title: Eng. Appl. Artif. Intell. – volume: 51 start-page: 5005 issue: 8 year: 2021 ident: 10.1016/j.swevo.2025.101912_b11 article-title: A new fitness function with two rankings for evolutionary constrained multiobjective optimization publication-title: IEEE Trans. Syst. Man Cybern.: Syst. doi: 10.1109/TSMC.2019.2943973 – start-page: 1 year: 2006 ident: 10.1016/j.swevo.2025.101912_b14 article-title: Constrained optimization by the ɛ constrained differential evolution with gradient-based mutation and feasible elites – volume: 1 start-page: 32 issue: 1 year: 2011 ident: 10.1016/j.swevo.2025.101912_b5 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: 25 start-page: 739 issue: 4 year: 2021 ident: 10.1016/j.swevo.2025.101912_b44 article-title: A dual-population-based evolutionary algorithm for constrained multiobjective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2021.3066301 |
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