A dual-population based two-archive coevolution algorithm for constrained multi-objective optimization problems

How to balance the objectives and constraints better is the key to solving constrained multi-objective optimization problems (CMOPs). Many evolutionary algorithms struggle to fully converge to the entire Pareto front, especially in CMOPs with narrow and complex feasible regions, which posing signifi...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 158; S. 111419
Hauptverfasser:	Chen, Miao, Zhao, Shijie, Zhang, Tianran, Zhang, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.10.2025
Schlagworte:	Constrained multi-objective optimization Dual-population Evolutionary algorithm Removal mechanism Two-archive Constrained multi-objective optimization Two-archive Removal mechanism Dual-population Evolutionary algorithm
ISSN:	0952-1976
Online-Zugang:	Volltext
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