A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning

•A dynamic task-assisted method is designed to solve constrained multimodal problems.•Three auxiliary tasks evolve cooperatively.•Dynamic selection of auxiliary tasks with reinforcement learning.•A new indicator for integrated evaluation of the quality of solutions is designed. Constrained multimoda...

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Vydané v:	Swarm and evolutionary computation Ročník 98; s. 102087
Hlavní autori:	Wang, Zheng, Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Dai, Rui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2025
Predmet:	Constrained multimodal optimization Evolutionary algorithms Muti-task Reinforcement learning Evolutionary algorithms Muti-task Constrained multimodal optimization Reinforcement learning
ISSN:	2210-6502
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