A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism
•Biased sampling using predicted similarity across multiple environments.•Improved prediction method applied as an initialization and search strategy.•Strategy to reuse evaluation budget from environmental detection.•Dual-population static optimizer for dynamic constrained multi-objective problems....
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| Published in: | Expert systems with applications Vol. 297; p. 129304 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.02.2026
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| ISSN: | 0957-4174 |
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| Abstract | •Biased sampling using predicted similarity across multiple environments.•Improved prediction method applied as an initialization and search strategy.•Strategy to reuse evaluation budget from environmental detection.•Dual-population static optimizer for dynamic constrained multi-objective problems.
The design of evolutionary algorithms for dynamic constrained multi-objective optimization problems is a significant research area, driven by the need for real-time adaptive solutions in complex real-world systems. To address this, this paper proposes DP-DCMOA, an algorithm that introduces a novel hybrid dynamic response by synergistically combining memory-based sampling and prediction-based generation. The algorithm’s novelty lies in its dual prediction approach. For the memory-based component, it leverages the predictable time-series properties of environmental similarity to guide a robust biased sampling from historical archives. For the prediction-based component, it employs an enhanced trajectory predictor to generate new, high-quality solutions. Furthermore, a key innovation is the integration of this trajectory predictor as a continuous search operator within the static optimizer, moving beyond its traditional role as a one-shot re-initialization tool. This dual-response system is supported by a specialized dual-population static optimizer. The effectiveness of the framework is validated through extensive experiments, demonstrating significant performance advantages over state-of-the-art algorithms and a high ranking in academic competitions. |
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| AbstractList | •Biased sampling using predicted similarity across multiple environments.•Improved prediction method applied as an initialization and search strategy.•Strategy to reuse evaluation budget from environmental detection.•Dual-population static optimizer for dynamic constrained multi-objective problems.
The design of evolutionary algorithms for dynamic constrained multi-objective optimization problems is a significant research area, driven by the need for real-time adaptive solutions in complex real-world systems. To address this, this paper proposes DP-DCMOA, an algorithm that introduces a novel hybrid dynamic response by synergistically combining memory-based sampling and prediction-based generation. The algorithm’s novelty lies in its dual prediction approach. For the memory-based component, it leverages the predictable time-series properties of environmental similarity to guide a robust biased sampling from historical archives. For the prediction-based component, it employs an enhanced trajectory predictor to generate new, high-quality solutions. Furthermore, a key innovation is the integration of this trajectory predictor as a continuous search operator within the static optimizer, moving beyond its traditional role as a one-shot re-initialization tool. This dual-response system is supported by a specialized dual-population static optimizer. The effectiveness of the framework is validated through extensive experiments, demonstrating significant performance advantages over state-of-the-art algorithms and a high ranking in academic competitions. |
| ArticleNumber | 129304 |
| Author | Zhang, Lili Deng, Libao Li, Chunlei Yang, Zhe Qin, Yifan |
| Author_xml | – sequence: 1 givenname: Zhe orcidid: 0000-0002-2408-5956 surname: Yang fullname: Yang, Zhe email: 22b305001@stu.hit.edu.cn organization: School of Information Science and Engineering, Harbin Institute of Technology, Weihai, 264209, China – sequence: 2 givenname: Libao orcidid: 0000-0003-0076-4054 surname: Deng fullname: Deng, Libao email: dlb@hit.edu.cn organization: School of Information Science and Engineering, Harbin Institute of Technology, Weihai, 264209, China – sequence: 3 givenname: Chunlei orcidid: 0000-0002-5102-0330 surname: Li fullname: Li, Chunlei email: 21b905036@stu.hit.edu.cn organization: School of Information Science and Engineering, Harbin Institute of Technology, Weihai, 264209, China – sequence: 4 givenname: Yifan surname: Qin fullname: Qin, Yifan email: 23B905004@stu.hit.edu.cn organization: School of Information Science and Engineering, Harbin Institute of Technology, Weihai, 264209, China – sequence: 5 givenname: Lili surname: Zhang fullname: Zhang, Lili email: lili.zhang@dcu.ie organization: School of Computing, Dublin City University, Dublin, D09 V209, Ireland |
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| Cites_doi | 10.1016/j.swevo.2025.101987 10.1109/TCYB.2013.2245892 10.1016/j.swevo.2013.12.002 10.1109/TEVC.2022.3222844 10.1016/j.swevo.2019.03.015 10.1016/j.asoc.2017.08.004 10.1109/TCSS.2022.3140862 10.1016/j.asoc.2012.07.027 10.1109/TCYB.2018.2819208 10.1109/TEVC.2023.3313689 10.1016/j.ins.2024.120922 10.1007/s40747-024-01656-0 10.1109/TEVC.2020.3004012 10.1145/2739480.2754708 10.1109/TMAG.2004.825006 10.1109/TSMC.2023.3322718 10.1109/TEVC.2019.2958075 10.1109/TCYB.2019.2909806 10.1007/s00500-013-1085-8 10.1016/j.ins.2024.120193 10.3390/app8091673 10.1016/j.ins.2024.120125 10.1016/j.asoc.2013.10.008 10.1007/s11633-007-0243-9 10.1016/j.asoc.2017.05.008 10.1109/TEVC.2016.2574621 10.1016/j.eswa.2024.123344 10.1109/TSMC.2021.3061698 10.1016/j.swevo.2024.101621 10.1007/s00500-013-1175-7 10.1016/j.ins.2020.07.009 10.1016/j.swevo.2017.10.005 10.1109/TCSS.2023.3293331 10.1109/CEC.1999.785502 10.1109/TCYB.2020.2989465 10.1016/j.ins.2023.119867 10.1109/TEVC.2018.2855411 10.1007/s00500-018-3033-0 10.1016/j.knosys.2020.106612 10.1016/j.ins.2021.08.027 10.1109/TCYB.2021.3069814 10.1109/TEVC.2008.2009031 10.1109/TEVC.2013.2281534 10.1109/TEVC.2019.2925722 10.1109/TEVC.2008.2009032 10.1109/TCYB.2020.2988896 10.1007/s00500-015-1820-4 10.1016/j.swevo.2018.10.005 10.1109/TCYB.2015.2490738 10.1007/s10489-022-03353-2 10.1109/CEC.2013.6557821 10.1109/TEVC.2020.2985323 10.1109/TFUZZ.2024.3443207 10.1109/TEVC.2022.3175065 10.1109/TEVC.2023.3241762 10.1016/j.ins.2017.10.037 10.1109/4235.996017 10.1016/j.ins.2019.01.066 10.1007/s40747-022-00824-4 10.1109/TCYB.2014.2345478 10.1109/TEVC.2023.3281666 10.1162/evco.2008.16.3.385 10.1016/j.asoc.2020.106592 |
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| References | Chen, Ding, Yang, Chai (bib0013) 2019; 24 Vieira, Adriano, Vasconcelos, Krahenbuhl (bib0056) 2004; 40 Asafuddoula, Ray, Sarker, Alam (bib0002) 2012 Cai, Wu, Zhao, Wu, Zhang, Chen (bib0008) 2024; 654 Ma, Wang (bib0040) 2021; 53 Qiao, Yu, Qu, Liang, Song, Yue, Tan (bib0046) 2022; 27 Song, Liu, Yu, Sun, Jin, Lai (bib0051) 2025 Zheng, Peng, Zou, Shen (bib0072) 2015; 43 Deb, Pratap, Agarwal, Meyarivan (bib0015) 2002; 6 Azzouz, Bechikh, Ben Said (bib0003) 2015 Li, Zou, Yang, Zheng, Ruan (bib0032) 2019; 23 Liu, Yang, Liu (bib0036) 2021; 216 Zhou, Jin, Zhang, Sendhoff, Tsang (bib0074) 2006 Jiang, Wang, Qiu, Guo, Gao, Tan (bib0025) 2020; 51 Jiao, Luo, Shang, Liu (bib0027) 2014; 14 Zhou, Zhu, Wang, Zhang, Xiang, Zhang (bib0075) 2018; 50 Liang, Zheng, Zhu, Yang (bib0033) 2019; 485 Lin, Ye, Ma, Jiang, Tan (bib0034) 2023; 54 Shang, Jiao, Ren, Li, Wang (bib0050) 2014; 18 Jiang, Yang (bib0026) 2016; 21 Zhao, Ma, Yang (bib0071) 2025; 96 Wang, Xie, Zhou, Tang (bib0058) 2025 Yang (bib0064) 2008; 16 Ruan, Yu, Zheng, Zou, Yang (bib0048) 2017; 58 Li, Wang, Zeng, Wu, Li (bib0030) 2024; 32 Gao, Yen, Liu (bib0017) 2014; 45 Li, Chen, Fu, Yao (bib0031) 2018; 23 Ma, Yang, Sun, Hu, Wei (bib0039) 2021; 545 Tian, Zhang, Xiao, Zhang, Jin (bib0055) 2020; 25 Rambabu, Vadakkepat, Tan, Jiang (bib0047) 2019; 50 Jain, Deb (bib0023) 2013; 18 Wang, Li, Liao, Yan (bib0057) 2020; 96 Zhang, Zhang, Yen, Jing (bib0069) 2019; 50 Peng, Xiong, Pi, Zhou, Wu (bib0044) 2024; 89 Yang, Tinós (bib0065) 2007; 4 Jan, Khanum (bib0024) 2013; 13 Anand, Singh (bib0001) 2023; 10 Guo, Chen, Jiang, Gong, Liang (bib0020) 2022; 27 Liu, Zhu, Li (bib0037) 2021; 51 Chen, Guo, Wang, Liang, Gong, Yang (bib0011) 2024; 28 Guo, Yang, Chen, Cheng, Gong (bib0021) 2019; 48 Zou, Li, Yang, Bai, Zheng (bib0078) 2017; 61 Chen, Guo, Jin, Yang, Gong, Yu (bib0012) 2023; 9 Xu, Xia, Zou, Hou, Yang, Hu, Liu (bib0062) 2024; 661 Yu, Liang, Qu, Luo, Yue (bib0067) 2021; 52 Hu, Zou, Zheng, Jiang, Yang (bib0022) 2024; 248 Qiao, Liang, Yu, Yue, Lin, Zhang, Qu (bib0045) 2024; 28 Azzouz, Bechikh, Said (bib0004) 2017; 21 Cao, Xu, Goodman, Bao, Zhu (bib0009) 2019; 24 Long (bib0038) 2014; 15 Li, Liang, Liu, Zheng, Guo (bib0028) 2025; 11 Zhang, Zheng, Cheng, Qiu, Jin (bib0070) 2018; 427 Bechikh, Datta, Gupta (bib0006) 2016; 9019 Goh, Tan (bib0019) 2008; 13 Ge, Hou, Chen, Shen, Liu (bib0018) 2024; 678 Woldesenbet, Yen (bib0060) 2009; 13 Chen, Guo, Li, Wang, Gong, Yuan (bib0010) 2025 Branke, J. (1999). Memory enhanced evolutionary algorithms for changing optimization problems. Proceedings of the 1999 Congress on evolutionary computation-CEC99 (Cat. No. 99TH8406), 3, 1875–1882. Mavrovouniotis, M., & Yang, S. (2013). Genetic algorithms with adaptive immigrants for dynamic environments. 2013 IEEE Congress on evolutionary computation, 58, 2130–2137. Zhang, Shen, Liu, Yen (bib0068) 2020; 24 Muruganantham, Tan, Vadakkepat (bib0043) 2015; 46 Liu, Chen, Ma, Mu, Jiao (bib0035) 2014; 18 Chen, Ding, Yen, Yang, Chai (bib0014) 2024; 28 Ma, Wang (bib0041) 2021; 53 Xu, Tan, Zheng, Li (bib0063) 2018; 8 Zou, Hou, Jiang, Yang, Ruan, Xia, Liu (bib0077) 2025 Wang, Liang, Zhang (bib0059) 2018; 49 Zhou, Jin, Zhang (bib0073) 2013; 44 Azzouz, Bechikh, Said, Trabelsi (bib0005) 2018; 39 Sun, Ma, Hu, Yang, Cui (bib0053) 2023; 53 Sahmoud, Topcuoglu (bib0049) 2016 Sun, Cao, Hu, Li, Zhao (bib0052) 2021; 579 Takahama, Sakai (bib0054) 2010 Li, Wang, Lan, Wu, Zeng (bib0029) 2024; 11 Woldesenbet, Yen, Tessema (bib0061) 2009; 13 Deb, Rao N, Karthik (bib0016) 2007 Yang, Ma, Zhao, Zhang, Wang (bib0066) 2024; 660 Zitzler, Laumanns, Thiele (bib0076) 2001; 103 Song (10.1016/j.eswa.2025.129304_bib0051) 2025 Li (10.1016/j.eswa.2025.129304_bib0028) 2025; 11 Zhou (10.1016/j.eswa.2025.129304_bib0073) 2013; 44 Ge (10.1016/j.eswa.2025.129304_bib0018) 2024; 678 Yang (10.1016/j.eswa.2025.129304_bib0064) 2008; 16 Yang (10.1016/j.eswa.2025.129304_bib0066) 2024; 660 Jiao (10.1016/j.eswa.2025.129304_bib0027) 2014; 14 Lin (10.1016/j.eswa.2025.129304_bib0034) 2023; 54 Chen (10.1016/j.eswa.2025.129304_bib0010) 2025 Li (10.1016/j.eswa.2025.129304_bib0032) 2019; 23 Wang (10.1016/j.eswa.2025.129304_bib0059) 2018; 49 Takahama (10.1016/j.eswa.2025.129304_bib0054) 2010 Xu (10.1016/j.eswa.2025.129304_bib0062) 2024; 661 Zhang (10.1016/j.eswa.2025.129304_bib0069) 2019; 50 Ruan (10.1016/j.eswa.2025.129304_bib0048) 2017; 58 Zhao (10.1016/j.eswa.2025.129304_bib0071) 2025; 96 Yang (10.1016/j.eswa.2025.129304_bib0065) 2007; 4 Chen (10.1016/j.eswa.2025.129304_bib0012) 2023; 9 Jiang (10.1016/j.eswa.2025.129304_bib0026) 2016; 21 Long (10.1016/j.eswa.2025.129304_bib0038) 2014; 15 Rambabu (10.1016/j.eswa.2025.129304_bib0047) 2019; 50 Ma (10.1016/j.eswa.2025.129304_bib0041) 2021; 53 Deb (10.1016/j.eswa.2025.129304_bib0016) 2007 Qiao (10.1016/j.eswa.2025.129304_bib0045) 2024; 28 Zou (10.1016/j.eswa.2025.129304_bib0078) 2017; 61 Anand (10.1016/j.eswa.2025.129304_bib0001) 2023; 10 Qiao (10.1016/j.eswa.2025.129304_bib0046) 2022; 27 Sun (10.1016/j.eswa.2025.129304_bib0052) 2021; 579 Cao (10.1016/j.eswa.2025.129304_bib0009) 2019; 24 Li (10.1016/j.eswa.2025.129304_bib0029) 2024; 11 Zhang (10.1016/j.eswa.2025.129304_bib0068) 2020; 24 Sahmoud (10.1016/j.eswa.2025.129304_bib0049) 2016 Sun (10.1016/j.eswa.2025.129304_bib0053) 2023; 53 Chen (10.1016/j.eswa.2025.129304_bib0014) 2024; 28 Wang (10.1016/j.eswa.2025.129304_bib0057) 2020; 96 Asafuddoula (10.1016/j.eswa.2025.129304_bib0002) 2012 Goh (10.1016/j.eswa.2025.129304_bib0019) 2008; 13 Li (10.1016/j.eswa.2025.129304_bib0030) 2024; 32 Li (10.1016/j.eswa.2025.129304_bib0031) 2018; 23 Woldesenbet (10.1016/j.eswa.2025.129304_bib0061) 2009; 13 Zheng (10.1016/j.eswa.2025.129304_bib0072) 2015; 43 Liu (10.1016/j.eswa.2025.129304_bib0036) 2021; 216 Gao (10.1016/j.eswa.2025.129304_bib0017) 2014; 45 Ma (10.1016/j.eswa.2025.129304_bib0040) 2021; 53 Muruganantham (10.1016/j.eswa.2025.129304_bib0043) 2015; 46 Zhou (10.1016/j.eswa.2025.129304_bib0075) 2018; 50 Chen (10.1016/j.eswa.2025.129304_bib0011) 2024; 28 Peng (10.1016/j.eswa.2025.129304_bib0044) 2024; 89 Azzouz (10.1016/j.eswa.2025.129304_bib0005) 2018; 39 Jiang (10.1016/j.eswa.2025.129304_bib0025) 2020; 51 Jain (10.1016/j.eswa.2025.129304_bib0023) 2013; 18 Ma (10.1016/j.eswa.2025.129304_bib0039) 2021; 545 Woldesenbet (10.1016/j.eswa.2025.129304_bib0060) 2009; 13 Jan (10.1016/j.eswa.2025.129304_bib0024) 2013; 13 Azzouz (10.1016/j.eswa.2025.129304_bib0003) 2015 Shang (10.1016/j.eswa.2025.129304_bib0050) 2014; 18 Azzouz (10.1016/j.eswa.2025.129304_bib0004) 2017; 21 Liu (10.1016/j.eswa.2025.129304_bib0035) 2014; 18 Wang (10.1016/j.eswa.2025.129304_bib0058) 2025 Deb (10.1016/j.eswa.2025.129304_bib0015) 2002; 6 Zhou (10.1016/j.eswa.2025.129304_bib0074) 2006 Hu (10.1016/j.eswa.2025.129304_bib0022) 2024; 248 Chen (10.1016/j.eswa.2025.129304_bib0013) 2019; 24 Yu (10.1016/j.eswa.2025.129304_bib0067) 2021; 52 Cai (10.1016/j.eswa.2025.129304_bib0008) 2024; 654 Zou (10.1016/j.eswa.2025.129304_bib0077) 2025 Tian (10.1016/j.eswa.2025.129304_bib0055) 2020; 25 Zitzler (10.1016/j.eswa.2025.129304_bib0076) 2001; 103 10.1016/j.eswa.2025.129304_bib0042 Zhang (10.1016/j.eswa.2025.129304_bib0070) 2018; 427 Bechikh (10.1016/j.eswa.2025.129304_bib0006) 2016; 9019 Xu (10.1016/j.eswa.2025.129304_bib0063) 2018; 8 Guo (10.1016/j.eswa.2025.129304_bib0021) 2019; 48 Liang (10.1016/j.eswa.2025.129304_bib0033) 2019; 485 Vieira (10.1016/j.eswa.2025.129304_bib0056) 2004; 40 Liu (10.1016/j.eswa.2025.129304_bib0037) 2021; 51 Guo (10.1016/j.eswa.2025.129304_bib0020) 2022; 27 10.1016/j.eswa.2025.129304_bib0007 |
| References_xml | – volume: 16 start-page: 385 year: 2008 end-page: 416 ident: bib0064 article-title: Genetic algorithms with memory-and elitism-based immigrants in dynamic environments publication-title: Evolutionary Computation – volume: 53 start-page: 18 year: 2021 end-page: 30 ident: bib0040 article-title: Shift-based penalty for evolutionary constrained multiobjective optimization and its application – start-page: 1 year: 2025 ident: bib0010 article-title: A subspace sparsity driven knowledge transfer strategy for dynamic constrained multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 545 start-page: 1 year: 2021 end-page: 24 ident: bib0039 article-title: Multiregional co-evolutionary algorithm for dynamic multiobjective optimization publication-title: Information Sciences – volume: 51 start-page: 5585 year: 2021 end-page: 5594 ident: bib0037 article-title: Solving many-objective optimization problems by a pareto-based evolutionary algorithm with preprocessing and a penalty mechanism publication-title: IEEE Transactions on Cybernetics – volume: 11 start-page: 2494 year: 2024 end-page: 2512 ident: bib0029 article-title: A novel dynamic multiobjective optimization algorithm with hierarchical response system publication-title: IEEE Transactions on Computational Social Systems – volume: 53 start-page: 1115 year: 2023 end-page: 1131 ident: bib0053 article-title: A two stages prediction strategy for evolutionary dynamic multi-objective optimization publication-title: Applied Intelligence – volume: 96 year: 2025 ident: bib0071 article-title: A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector–scalar transformation strategy publication-title: Swarm and Evolutionary Computation – volume: 51 start-page: 3417 year: 2020 end-page: 3428 ident: bib0025 article-title: A fast dynamic evolutionary multiobjective algorithm via manifold transfer learning publication-title: IEEE Transactions on Cybernetics – volume: 53 start-page: 18 year: 2021 end-page: 30 ident: bib0041 article-title: Shift-based penalty for evolutionary constrained multiobjective optimization and its application publication-title: IEEE Transactions on Cybernetics – volume: 96 year: 2020 ident: bib0057 article-title: An ensemble learning based prediction strategy for dynamic multi-objective optimization publication-title: Applied Soft Computing – volume: 678 year: 2024 ident: bib0018 article-title: A dynamic multi-objective evolutionary algorithm based on mahalanobis distance and intra-cluster individual correlation rectification publication-title: Information Sciences – volume: 661 year: 2024 ident: bib0062 article-title: A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization publication-title: Information Sciences – volume: 24 start-page: 792 year: 2019 end-page: 806 ident: bib0013 article-title: A novel evolutionary algorithm for dynamic constrained multiobjective optimization problems publication-title: IEEE Transactions on Evolutionary Computation – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: bib0015 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Transactions on Evolutionary Computation – start-page: 803 year: 2007 end-page: 817 ident: bib0016 article-title: Dynamic multi-objective optimization and decision-making using modified NSGA-II: A case study on hydro-thermal power scheduling publication-title: International conference on evolutionary multi-criterion optimization – volume: 15 start-page: 66 year: 2014 end-page: 79 ident: bib0038 article-title: A constraint handling technique for constrained multi-objective genetic algorithm publication-title: Swarm and Evolutionary Computation – volume: 40 start-page: 1188 year: 2004 end-page: 1191 ident: bib0056 article-title: Treating constraints as objectives in multiobjective optimization problems using niched pareto genetic algorithm publication-title: IEEE Transactions on Magnetics – volume: 654 year: 2024 ident: bib0008 article-title: Dynamic adaptive multi-objective optimization algorithm based on type detection publication-title: Information sciences – volume: 27 start-page: 642 year: 2022 end-page: 656 ident: bib0046 article-title: Dynamic auxiliary task-based evolutionary multitasking for constrained multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – start-page: 1 year: 2012 end-page: 8 ident: bib0002 article-title: An adaptive constraint handling approach embedded MOEA/d publication-title: 2012 IEEE congress on evolutionary computation – volume: 43 start-page: 1816 year: 2015 end-page: 1825 ident: bib0072 article-title: A prediction strategy based on guide-individual for dynamic multi-objective optimization publication-title: Acta Electronica Sinica – volume: 45 start-page: 1108 year: 2014 end-page: 1121 ident: bib0017 article-title: A dual-population differential evolution with coevolution for constrained optimization publication-title: IEEE Transactions on Cybernetics – volume: 8 start-page: 1673 year: 2018 ident: bib0063 article-title: Memory-enhanced dynamic multi-objective evolutionary algorithm based on lp decomposition publication-title: Applied Sciences – volume: 49 start-page: 2060 year: 2018 end-page: 2072 ident: bib0059 article-title: Cooperative differential evolution framework for constrained multiobjective optimization publication-title: IEEE Transactions on Cybernetics – start-page: 615 year: 2015 end-page: 622 ident: bib0003 article-title: Multi-objective optimization with dynamic constraints and objectives: New challenges for evolutionary algorithms publication-title: Proceedings of the 2015 annual conference on genetic and evolutionary computation – volume: 18 start-page: 1913 year: 2014 end-page: 1929 ident: bib0035 article-title: A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model publication-title: Soft Computing – volume: 18 start-page: 743 year: 2014 end-page: 756 ident: bib0050 article-title: Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization publication-title: Soft Computing – start-page: 1 year: 2025 ident: bib0051 article-title: Multisource and hidden source-based knowledge transfer for solving dynamic multiobjective optimization problems publication-title: IEEE Transactions on Evolutionary Computation – volume: 24 start-page: 305 year: 2019 end-page: 319 ident: bib0009 article-title: Evolutionary dynamic multiobjective optimization assisted by a support vector regression predictor publication-title: IEEE Transactions on Evolutionary Computation – volume: 13 start-page: 514 year: 2009 end-page: 525 ident: bib0061 article-title: Constraint handling in multiobjective evolutionary optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 9019 start-page: 27 year: 2016 end-page: 45 ident: bib0006 article-title: Recent advances in evolutionary multi-objective optimization publication-title: Evolutionary multi-criterion optimization, Lecture Notes in Computer Science – volume: 21 start-page: 885 year: 2017 end-page: 906 ident: bib0004 article-title: A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy publication-title: Soft Computing – volume: 39 start-page: 222 year: 2018 end-page: 248 ident: bib0005 article-title: Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization publication-title: Swarm and Evolutionary Computation – volume: 50 start-page: 5099 year: 2019 end-page: 5112 ident: bib0047 article-title: A mixture-of-experts prediction framework for evolutionary dynamic multiobjective optimization publication-title: IEEE Transactions on Cybernetics – volume: 103 year: 2001 ident: bib0076 article-title: Spea2: Improving the strength pareto evolutionary algorithm publication-title: TIK Report – volume: 25 start-page: 102 year: 2020 end-page: 116 ident: bib0055 article-title: A coevolutionary framework for constrained multiobjective optimization problems publication-title: IEEE Transactions on Evolutionary Computation – volume: 248 year: 2024 ident: bib0022 article-title: A new framework of change response for dynamic multi-objective optimization publication-title: Expert Systems with Applications – volume: 44 start-page: 40 year: 2013 end-page: 53 ident: bib0073 article-title: A population prediction strategy for evolutionary dynamic multiobjective optimization publication-title: IEEE Transactions on Cybernetics – volume: 46 start-page: 2862 year: 2015 end-page: 2873 ident: bib0043 article-title: Evolutionary dynamic multiobjective optimization via kalman filter prediction publication-title: IEEE Transactions on Cybernetics – volume: 11 start-page: 81 year: 2025 ident: bib0028 article-title: Division-selection transfer learning for prediction based dynamic multi-objective optimization publication-title: Complex & Intelligent Systems – volume: 485 start-page: 200 year: 2019 end-page: 218 ident: bib0033 article-title: Hybrid of memory and prediction strategies for dynamic multiobjective optimization publication-title: Information Sciences – volume: 48 start-page: 156 year: 2019 end-page: 171 ident: bib0021 article-title: Ensemble prediction-based dynamic robust multi-objective optimization methods publication-title: Swarm and Evolutionary Computation – volume: 579 start-page: 751 year: 2021 end-page: 775 ident: bib0052 article-title: A novel quantile-guided dual prediction strategies for dynamic multi-objective optimization publication-title: Information Sciences – volume: 50 start-page: 3086 year: 2018 end-page: 3099 ident: bib0075 article-title: Tri-goal evolution framework for constrained many-objective optimization publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – volume: 28 start-page: 763 year: 2024 end-page: 777 ident: bib0014 article-title: Multipopulation evolution-based dynamic constrained multiobjective optimization under diverse changing environments publication-title: IEEE Transactions on Evolutionary Computation – volume: 89 year: 2024 ident: bib0044 article-title: A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting publication-title: Swarm and Evolutionary Computation – volume: 216 year: 2021 ident: bib0036 article-title: A dynamic multi-objective optimization evolutionary algorithm for complex environmental changes publication-title: Knowledge-Based Systems – volume: 27 start-page: 1750 year: 2022 end-page: 1764 ident: bib0020 article-title: A knowledge guided transfer strategy for evolutionary dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 21 start-page: 65 year: 2016 end-page: 82 ident: bib0026 article-title: A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 28 start-page: 965 year: 2024 end-page: 979 ident: bib0045 article-title: Evolutionary constrained multiobjective optimization: Scalable high-dimensional constraint benchmarks and algorithm publication-title: IEEE Transactions on Evolutionary Computation – start-page: 1 year: 2025 ident: bib0058 article-title: A new prediction strategy for dynamic multi-objective optimization using diffusion model publication-title: IEEE Transactions on Evolutionary Computation – volume: 9 start-page: 659 year: 2023 end-page: 675 ident: bib0012 article-title: An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems publication-title: Complex & Intelligent Systems – volume: 28 start-page: 1381 year: 2024 end-page: 1395 ident: bib0011 article-title: Evolutionary dynamic constrained multiobjective optimization: Test suite and algorithm publication-title: IEEE Transactions on Evolutionary Computation – volume: 58 start-page: 631 year: 2017 end-page: 647 ident: bib0048 article-title: The effect of diversity maintenance on prediction in dynamic multi-objective optimization publication-title: Applied Soft Computing – start-page: 1 year: 2010 end-page: 9 ident: bib0054 article-title: Constrained optimization by the publication-title: IEEE Congress on evolutionary computation – volume: 10 start-page: 2033 year: 2023 end-page: 2040 ident: bib0001 article-title: Hybrid nature-inspired optimization and encryption-based watermarking for e-healthcare publication-title: IEEE Transactions on Computational Social Systems – volume: 660 year: 2024 ident: bib0066 article-title: A dynamic multi-objective evolutionary algorithm based on genetic engineering and improved particle swarm prediction strategy publication-title: Information Sciences – volume: 61 start-page: 806 year: 2017 end-page: 818 ident: bib0078 article-title: A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization publication-title: Applied Soft Computing – volume: 52 start-page: 2954 year: 2021 end-page: 2965 ident: bib0067 article-title: Dynamic selection preference-assisted constrained multiobjective differential evolution publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – volume: 24 start-page: 974 year: 2020 end-page: 988 ident: bib0068 article-title: Multiobjective evolution strategy for dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 13 start-page: 128 year: 2013 end-page: 148 ident: bib0024 article-title: A study of two penalty-parameterless constraint handling techniques in the framework of MOEA/d publication-title: Applied Soft Computing – volume: 4 start-page: 243 year: 2007 end-page: 254 ident: bib0065 article-title: A hybrid immigrants scheme for genetic algorithms in dynamic environments publication-title: International Journal of Automation and Computing – reference: Mavrovouniotis, M., & Yang, S. (2013). Genetic algorithms with adaptive immigrants for dynamic environments. 2013 IEEE Congress on evolutionary computation, 58, 2130–2137. – volume: 427 start-page: 63 year: 2018 end-page: 76 ident: bib0070 article-title: A competitive mechanism based multi-objective particle swarm optimizer with fast convergence publication-title: Information Sciences – volume: 18 start-page: 602 year: 2013 end-page: 622 ident: bib0023 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 Transactions on Evolutionary Computation – volume: 23 start-page: 3723 year: 2019 end-page: 3739 ident: bib0032 article-title: A predictive strategy based on special points for evolutionary dynamic multi-objective optimization publication-title: Soft Computing – volume: 13 start-page: 103 year: 2008 end-page: 127 ident: bib0019 article-title: A competitive-cooperative coevolutionary paradigm for dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – start-page: 296 year: 2016 end-page: 310 ident: bib0049 article-title: A memory-based NSGA-II algorithm for dynamic multi-objective optimization problems publication-title: European conference on the applications of evolutionary computation – reference: Branke, J. (1999). Memory enhanced evolutionary algorithms for changing optimization problems. Proceedings of the 1999 Congress on evolutionary computation-CEC99 (Cat. No. 99TH8406), 3, 1875–1882. – volume: 50 year: 2019 ident: bib0069 article-title: A cluster-based clonal selection algorithm for optimization in dynamic environment publication-title: Swarm and Evolutionary Computation – start-page: 892 year: 2006 end-page: 899 ident: bib0074 article-title: Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion publication-title: 2006 IEEE international conference on evolutionary computation – volume: 32 start-page: 6199 year: 2024 end-page: 6213 ident: bib0030 article-title: Promoting objective knowledge transfer: A cascaded fuzzy system for solving dynamic multiobjective optimization problems publication-title: IEEE Transactions on Fuzzy Systems – volume: 23 start-page: 303 year: 2018 end-page: 315 ident: bib0031 article-title: Two-archive evolutionary algorithm for constrained multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 13 start-page: 500 year: 2009 end-page: 513 ident: bib0060 article-title: Dynamic evolutionary algorithm with variable relocation publication-title: IEEE Transactions on Evolutionary Computation – volume: 14 start-page: 363 year: 2014 end-page: 380 ident: bib0027 article-title: A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems publication-title: Applied Soft Computing – volume: 54 start-page: 936 year: 2023 end-page: 949 ident: bib0034 article-title: Dynamic multiobjective evolutionary optimization via knowledge transfer and maintenance publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – start-page: 1 year: 2025 ident: bib0077 article-title: Knowledge transfer with mixture model in dynamic multi-objective optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 96 year: 2025 ident: 10.1016/j.eswa.2025.129304_bib0071 article-title: A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector–scalar transformation strategy publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2025.101987 – volume: 43 start-page: 1816 issue: 9 year: 2015 ident: 10.1016/j.eswa.2025.129304_bib0072 article-title: A prediction strategy based on guide-individual for dynamic multi-objective optimization publication-title: Acta Electronica Sinica – volume: 44 start-page: 40 issue: 1 year: 2013 ident: 10.1016/j.eswa.2025.129304_bib0073 article-title: A population prediction strategy for evolutionary dynamic multiobjective optimization publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2013.2245892 – volume: 15 start-page: 66 year: 2014 ident: 10.1016/j.eswa.2025.129304_bib0038 article-title: A constraint handling technique for constrained multi-objective genetic algorithm publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2013.12.002 – volume: 9019 start-page: 27 year: 2016 ident: 10.1016/j.eswa.2025.129304_bib0006 article-title: Recent advances in evolutionary multi-objective optimization – volume: 27 start-page: 1750 issue: 6 year: 2022 ident: 10.1016/j.eswa.2025.129304_bib0020 article-title: A knowledge guided transfer strategy for evolutionary dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2022.3222844 – volume: 48 start-page: 156 year: 2019 ident: 10.1016/j.eswa.2025.129304_bib0021 article-title: Ensemble prediction-based dynamic robust multi-objective optimization methods publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2019.03.015 – volume: 61 start-page: 806 year: 2017 ident: 10.1016/j.eswa.2025.129304_bib0078 article-title: A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2017.08.004 – volume: 10 start-page: 2033 issue: 4 year: 2023 ident: 10.1016/j.eswa.2025.129304_bib0001 article-title: Hybrid nature-inspired optimization and encryption-based watermarking for e-healthcare publication-title: IEEE Transactions on Computational Social Systems doi: 10.1109/TCSS.2022.3140862 – volume: 13 start-page: 128 issue: 1 year: 2013 ident: 10.1016/j.eswa.2025.129304_bib0024 article-title: A study of two penalty-parameterless constraint handling techniques in the framework of MOEA/d publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2012.07.027 – start-page: 1 year: 2025 ident: 10.1016/j.eswa.2025.129304_bib0077 article-title: Knowledge transfer with mixture model in dynamic multi-objective optimization publication-title: IEEE Transactions on Evolutionary Computation – start-page: 803 year: 2007 ident: 10.1016/j.eswa.2025.129304_bib0016 article-title: Dynamic multi-objective optimization and decision-making using modified NSGA-II: A case study on hydro-thermal power scheduling – volume: 49 start-page: 2060 issue: 6 year: 2018 ident: 10.1016/j.eswa.2025.129304_bib0059 article-title: Cooperative differential evolution framework for constrained multiobjective optimization publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2018.2819208 – volume: 28 start-page: 1381 issue: 5 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0011 article-title: Evolutionary dynamic constrained multiobjective optimization: Test suite and algorithm publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2023.3313689 – volume: 678 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0018 article-title: A dynamic multi-objective evolutionary algorithm based on mahalanobis distance and intra-cluster individual correlation rectification publication-title: Information Sciences doi: 10.1016/j.ins.2024.120922 – volume: 11 start-page: 81 issue: 1 year: 2025 ident: 10.1016/j.eswa.2025.129304_bib0028 article-title: Division-selection transfer learning for prediction based dynamic multi-objective optimization publication-title: Complex & Intelligent Systems doi: 10.1007/s40747-024-01656-0 – volume: 25 start-page: 102 issue: 1 year: 2020 ident: 10.1016/j.eswa.2025.129304_bib0055 article-title: A coevolutionary framework for constrained multiobjective optimization problems publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2020.3004012 – start-page: 1 year: 2025 ident: 10.1016/j.eswa.2025.129304_bib0051 article-title: Multisource and hidden source-based knowledge transfer for solving dynamic multiobjective optimization problems publication-title: IEEE Transactions on Evolutionary Computation – start-page: 615 year: 2015 ident: 10.1016/j.eswa.2025.129304_bib0003 article-title: Multi-objective optimization with dynamic constraints and objectives: New challenges for evolutionary algorithms publication-title: Proceedings of the 2015 annual conference on genetic and evolutionary computation doi: 10.1145/2739480.2754708 – volume: 40 start-page: 1188 issue: 2 year: 2004 ident: 10.1016/j.eswa.2025.129304_bib0056 article-title: Treating constraints as objectives in multiobjective optimization problems using niched pareto genetic algorithm publication-title: IEEE Transactions on Magnetics doi: 10.1109/TMAG.2004.825006 – volume: 54 start-page: 936 issue: 2 year: 2023 ident: 10.1016/j.eswa.2025.129304_bib0034 article-title: Dynamic multiobjective evolutionary optimization via knowledge transfer and maintenance publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems doi: 10.1109/TSMC.2023.3322718 – volume: 24 start-page: 792 issue: 4 year: 2019 ident: 10.1016/j.eswa.2025.129304_bib0013 article-title: A novel evolutionary algorithm for dynamic constrained multiobjective optimization problems publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2019.2958075 – volume: 50 start-page: 5099 issue: 12 year: 2019 ident: 10.1016/j.eswa.2025.129304_bib0047 article-title: A mixture-of-experts prediction framework for evolutionary dynamic multiobjective optimization publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2019.2909806 – volume: 50 start-page: 3086 issue: 8 year: 2018 ident: 10.1016/j.eswa.2025.129304_bib0075 article-title: Tri-goal evolution framework for constrained many-objective optimization publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – volume: 18 start-page: 743 year: 2014 ident: 10.1016/j.eswa.2025.129304_bib0050 article-title: Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization publication-title: Soft Computing doi: 10.1007/s00500-013-1085-8 – volume: 661 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0062 article-title: A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization publication-title: Information Sciences doi: 10.1016/j.ins.2024.120193 – volume: 8 start-page: 1673 issue: 9 year: 2018 ident: 10.1016/j.eswa.2025.129304_bib0063 article-title: Memory-enhanced dynamic multi-objective evolutionary algorithm based on lp decomposition publication-title: Applied Sciences doi: 10.3390/app8091673 – volume: 660 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0066 article-title: A dynamic multi-objective evolutionary algorithm based on genetic engineering and improved particle swarm prediction strategy publication-title: Information Sciences doi: 10.1016/j.ins.2024.120125 – start-page: 892 year: 2006 ident: 10.1016/j.eswa.2025.129304_bib0074 article-title: Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion – volume: 14 start-page: 363 year: 2014 ident: 10.1016/j.eswa.2025.129304_bib0027 article-title: A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2013.10.008 – volume: 4 start-page: 243 issue: 3 year: 2007 ident: 10.1016/j.eswa.2025.129304_bib0065 article-title: A hybrid immigrants scheme for genetic algorithms in dynamic environments publication-title: International Journal of Automation and Computing doi: 10.1007/s11633-007-0243-9 – volume: 58 start-page: 631 year: 2017 ident: 10.1016/j.eswa.2025.129304_bib0048 article-title: The effect of diversity maintenance on prediction in dynamic multi-objective optimization publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2017.05.008 – volume: 21 start-page: 65 issue: 1 year: 2016 ident: 10.1016/j.eswa.2025.129304_bib0026 article-title: A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2016.2574621 – volume: 248 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0022 article-title: A new framework of change response for dynamic multi-objective optimization publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2024.123344 – volume: 52 start-page: 2954 issue: 5 year: 2021 ident: 10.1016/j.eswa.2025.129304_bib0067 article-title: Dynamic selection preference-assisted constrained multiobjective differential evolution publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems doi: 10.1109/TSMC.2021.3061698 – volume: 89 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0044 article-title: A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2024.101621 – volume: 18 start-page: 1913 year: 2014 ident: 10.1016/j.eswa.2025.129304_bib0035 article-title: A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model publication-title: Soft Computing doi: 10.1007/s00500-013-1175-7 – start-page: 1 year: 2012 ident: 10.1016/j.eswa.2025.129304_bib0002 article-title: An adaptive constraint handling approach embedded MOEA/d – volume: 545 start-page: 1 year: 2021 ident: 10.1016/j.eswa.2025.129304_bib0039 article-title: Multiregional co-evolutionary algorithm for dynamic multiobjective optimization publication-title: Information Sciences doi: 10.1016/j.ins.2020.07.009 – volume: 13 start-page: 103 issue: 1 year: 2008 ident: 10.1016/j.eswa.2025.129304_bib0019 article-title: A competitive-cooperative coevolutionary paradigm for dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 39 start-page: 222 year: 2018 ident: 10.1016/j.eswa.2025.129304_bib0005 article-title: Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2017.10.005 – volume: 11 start-page: 2494 issue: 2 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0029 article-title: A novel dynamic multiobjective optimization algorithm with hierarchical response system publication-title: IEEE Transactions on Computational Social Systems doi: 10.1109/TCSS.2023.3293331 – ident: 10.1016/j.eswa.2025.129304_bib0007 doi: 10.1109/CEC.1999.785502 – volume: 51 start-page: 3417 issue: 7 year: 2020 ident: 10.1016/j.eswa.2025.129304_bib0025 article-title: A fast dynamic evolutionary multiobjective algorithm via manifold transfer learning publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2020.2989465 – volume: 654 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0008 article-title: Dynamic adaptive multi-objective optimization algorithm based on type detection publication-title: Information sciences doi: 10.1016/j.ins.2023.119867 – volume: 23 start-page: 303 issue: 2 year: 2018 ident: 10.1016/j.eswa.2025.129304_bib0031 article-title: Two-archive evolutionary algorithm for constrained multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2018.2855411 – volume: 23 start-page: 3723 year: 2019 ident: 10.1016/j.eswa.2025.129304_bib0032 article-title: A predictive strategy based on special points for evolutionary dynamic multi-objective optimization publication-title: Soft Computing doi: 10.1007/s00500-018-3033-0 – volume: 216 year: 2021 ident: 10.1016/j.eswa.2025.129304_bib0036 article-title: A dynamic multi-objective optimization evolutionary algorithm for complex environmental changes publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2020.106612 – volume: 579 start-page: 751 year: 2021 ident: 10.1016/j.eswa.2025.129304_bib0052 article-title: A novel quantile-guided dual prediction strategies for dynamic multi-objective optimization publication-title: Information Sciences doi: 10.1016/j.ins.2021.08.027 – volume: 103 year: 2001 ident: 10.1016/j.eswa.2025.129304_bib0076 article-title: Spea2: Improving the strength pareto evolutionary algorithm publication-title: TIK Report – volume: 53 start-page: 18 issue: 1 year: 2021 ident: 10.1016/j.eswa.2025.129304_bib0041 article-title: Shift-based penalty for evolutionary constrained multiobjective optimization and its application publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2021.3069814 – volume: 13 start-page: 500 issue: 3 year: 2009 ident: 10.1016/j.eswa.2025.129304_bib0060 article-title: Dynamic evolutionary algorithm with variable relocation publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2008.2009031 – start-page: 296 year: 2016 ident: 10.1016/j.eswa.2025.129304_bib0049 article-title: A memory-based NSGA-II algorithm for dynamic multi-objective optimization problems – volume: 18 start-page: 602 issue: 4 year: 2013 ident: 10.1016/j.eswa.2025.129304_bib0023 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 Transactions on Evolutionary Computation doi: 10.1109/TEVC.2013.2281534 – volume: 24 start-page: 305 issue: 2 year: 2019 ident: 10.1016/j.eswa.2025.129304_bib0009 article-title: Evolutionary dynamic multiobjective optimization assisted by a support vector regression predictor publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2019.2925722 – volume: 13 start-page: 514 issue: 3 year: 2009 ident: 10.1016/j.eswa.2025.129304_bib0061 article-title: Constraint handling in multiobjective evolutionary optimization publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2008.2009032 – volume: 51 start-page: 5585 issue: 11 year: 2021 ident: 10.1016/j.eswa.2025.129304_bib0037 article-title: Solving many-objective optimization problems by a pareto-based evolutionary algorithm with preprocessing and a penalty mechanism publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2020.2988896 – volume: 21 start-page: 885 year: 2017 ident: 10.1016/j.eswa.2025.129304_bib0004 article-title: A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy publication-title: Soft Computing doi: 10.1007/s00500-015-1820-4 – volume: 50 year: 2019 ident: 10.1016/j.eswa.2025.129304_bib0069 article-title: A cluster-based clonal selection algorithm for optimization in dynamic environment publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2018.10.005 – volume: 46 start-page: 2862 issue: 12 year: 2015 ident: 10.1016/j.eswa.2025.129304_bib0043 article-title: Evolutionary dynamic multiobjective optimization via kalman filter prediction publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2015.2490738 – volume: 53 start-page: 1115 issue: 1 year: 2023 ident: 10.1016/j.eswa.2025.129304_bib0053 article-title: A two stages prediction strategy for evolutionary dynamic multi-objective optimization publication-title: Applied Intelligence doi: 10.1007/s10489-022-03353-2 – start-page: 1 year: 2025 ident: 10.1016/j.eswa.2025.129304_bib0010 article-title: A subspace sparsity driven knowledge transfer strategy for dynamic constrained multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation – ident: 10.1016/j.eswa.2025.129304_bib0042 doi: 10.1109/CEC.2013.6557821 – volume: 24 start-page: 974 issue: 5 year: 2020 ident: 10.1016/j.eswa.2025.129304_bib0068 article-title: Multiobjective evolution strategy for dynamic multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2020.2985323 – volume: 32 start-page: 6199 issue: 11 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0030 article-title: Promoting objective knowledge transfer: A cascaded fuzzy system for solving dynamic multiobjective optimization problems publication-title: IEEE Transactions on Fuzzy Systems doi: 10.1109/TFUZZ.2024.3443207 – volume: 27 start-page: 642 issue: 3 year: 2022 ident: 10.1016/j.eswa.2025.129304_bib0046 article-title: Dynamic auxiliary task-based evolutionary multitasking for constrained multiobjective optimization publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2022.3175065 – volume: 28 start-page: 763 issue: 3 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0014 article-title: Multipopulation evolution-based dynamic constrained multiobjective optimization under diverse changing environments publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2023.3241762 – volume: 53 start-page: 18 year: 2021 ident: 10.1016/j.eswa.2025.129304_bib0040 – start-page: 1 year: 2025 ident: 10.1016/j.eswa.2025.129304_bib0058 article-title: A new prediction strategy for dynamic multi-objective optimization using diffusion model publication-title: IEEE Transactions on Evolutionary Computation – start-page: 1 year: 2010 ident: 10.1016/j.eswa.2025.129304_bib0054 article-title: Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation – volume: 427 start-page: 63 year: 2018 ident: 10.1016/j.eswa.2025.129304_bib0070 article-title: A competitive mechanism based multi-objective particle swarm optimizer with fast convergence publication-title: Information Sciences doi: 10.1016/j.ins.2017.10.037 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.eswa.2025.129304_bib0015 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/4235.996017 – volume: 485 start-page: 200 year: 2019 ident: 10.1016/j.eswa.2025.129304_bib0033 article-title: Hybrid of memory and prediction strategies for dynamic multiobjective optimization publication-title: Information Sciences doi: 10.1016/j.ins.2019.01.066 – volume: 9 start-page: 659 issue: 1 year: 2023 ident: 10.1016/j.eswa.2025.129304_bib0012 article-title: An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems publication-title: Complex & Intelligent Systems doi: 10.1007/s40747-022-00824-4 – volume: 45 start-page: 1108 issue: 5 year: 2014 ident: 10.1016/j.eswa.2025.129304_bib0017 article-title: A dual-population differential evolution with coevolution for constrained optimization publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2014.2345478 – volume: 28 start-page: 965 issue: 4 year: 2024 ident: 10.1016/j.eswa.2025.129304_bib0045 article-title: Evolutionary constrained multiobjective optimization: Scalable high-dimensional constraint benchmarks and algorithm publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2023.3281666 – volume: 16 start-page: 385 issue: 3 year: 2008 ident: 10.1016/j.eswa.2025.129304_bib0064 article-title: Genetic algorithms with memory-and elitism-based immigrants in dynamic environments publication-title: Evolutionary Computation doi: 10.1162/evco.2008.16.3.385 – volume: 96 year: 2020 ident: 10.1016/j.eswa.2025.129304_bib0057 article-title: An ensemble learning based prediction strategy for dynamic multi-objective optimization publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2020.106592 |
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