A dual-population co-evolution algorithm with balanced environmental selection for constrained multimodal multiobjective optimization problems

In constrained multimodal multiobjective optimization problems (CMMOPs), the principal challenge is to explore multiple conflicting objectives and multiple equivalent Pareto sets under complex constraints, while balancing feasibility, convergence, and diversity of solutions. This paper proposes the...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 94; S. 101862
Hauptverfasser:	Wu, FuLong, Sun, Yu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2025
Schlagworte:	Balanced environmental selection Bi-crowding distance Constrained multimodal multiobjective optimization Dual-population co-evolution algorithm Dynamic-range-based constrained dominance principle Dual-population co-evolution algorithm Dynamic-range-based constrained dominance principle Balanced environmental selection Constrained multimodal multiobjective optimization Bi-crowding distance
ISSN:	2210-6502
Online-Zugang:	Volltext
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