Two-stage differential evolution with dynamic population assignment for constrained multi-objective optimization

Using infeasible information to balance objective optimization and constraint satisfaction is a very promising research direction to address constrained multi-objective problems (CMOPs) via evolutionary algorithms (EAs). The existing constrained multi-objective evolutionary algorithms (CMOEAs) still...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 90; S. 101657
Hauptverfasser:	Xu, Bin, Zhang, Haifeng, Tao, Lili
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2024
Schlagworte:	Constrained multi-objective optimization Differential evolution Dynamic population assignment Infeasible information Multiple strategies Two stages Constrained multi-objective optimization Differential evolution Infeasible information Two stages Dynamic population assignment Multiple strategies
ISSN:	2210-6502
Online-Zugang:	Volltext
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