A dual dynamic constraint boundary based constrained multi-objective evolutionary algorithm for small feasible regions

Addressing constrained multi-objective optimization problems (CMOPs) with small feasible regions presents a significant challenge, as existing algorithms often struggle to balance feasibility, diversity, and convergence within the population. To overcome this challenge, we propose a dual dynamic con...

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Veröffentlicht in:	Expert systems with applications Jg. 275; S. 127008
Hauptverfasser:	Zhu, Cong, Yang, Yongkuan, Kong, Xiangsong, Yang, Yanxiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 25.05.2025
Schlagworte:	Co-evolution Constrained multi-objective optimization Constraint handling Dynamic constraint boundary Multi-objective evolutionary algorithm Small feasible region Constraint handling Constrained multi-objective optimization Co-evolution Multi-objective evolutionary algorithm Dynamic constraint boundary Small feasible region
ISSN:	0957-4174
Online-Zugang:	Volltext
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