Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization

The core task of constrained multiobjective optimization is to achieve a tradeoff between exploration and exploitation as well as a tradeoff between constraints and objectives. We present an effective evolutionary algorithm with a dynamic population size (DPSEA) to achieve these two tradeoffs. In or...

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Vydáno v:	Swarm and evolutionary computation Ročník 73; s. 101104
Hlavní autoři:	Wang, Bing-Chuan, Shui, Zhong-Yi, Feng, Yun, Ma, Zhongwei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.08.2022
Témata:	Constrained multiobjective optimization dynamic population size evolutionary algorithm mating selection two tradeoffs Constrained multiobjective optimization dynamic population size two tradeoffs mating selection evolutionary algorithm
ISSN:	2210-6502
On-line přístup:	Získat plný text
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