A self-organizing assisted multi-task algorithm for constrained multi-objective optimization problems

Constrained multi-objective optimization problems (CMOPs) require a delicate balance between satisfying constraints and optimizing objectives. Existing constrained multi-objective evolutionary algorithms (CMOEAs) often struggle to balance convergence, diversity, and feasibility, especially when deal...

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Vydané v:	Information sciences Ročník 664; s. 120339
Hlavní autori:	Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Dai, Rui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.04.2024
Predmet:	Constrained multi-objective optimization Constraint-to-constraint Multi-task Self-organizing mapping Constrained multi-objective optimization Constraint-to-constraint Multi-task Self-organizing mapping
ISSN:	0020-0255, 1872-6291
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