A novel competitive constrained dual-archive dual-stage evolutionary algorithm for constrained multiobjective optimization

In constrained multi-objective optimization problems (CMOPs), the key problem is how to balance convergence and diversity simultaneously and find as many feasible solutions as possible in the reduced search space. To address this issue, a novel competitive constrained dual-archive dual-stage evoluti...

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Vydané v:	Swarm and evolutionary computation Ročník 83; s. 101417
Hlavní autori:	Zhou, Tianwei, He, Pengcheng, Niu, Ben, Yue, Guanghui, Wang, Hong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2023
Predmet:	Adaptive penalty function Competitive coevolutionary Constrained multi-objective optimization ε-constrained method Adaptive penalty function Constrained multi-objective optimization ε-constrained method Competitive coevolutionary
ISSN:	2210-6502
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