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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Vydáno v:	Swarm and evolutionary computation Ročník 90; s. 101657
Hlavní autoři:	Xu, Bin, Zhang, Haifeng, Tao, Lili
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2024
Témata:	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
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