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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Veröffentlicht in:	Swarm and evolutionary computation Jg. 98; S. 102087
Hauptverfasser:	Wang, Zheng, Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Dai, Rui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2025
Schlagworte:	Constrained multimodal optimization Evolutionary algorithms Muti-task Reinforcement learning Evolutionary algorithms Muti-task Constrained multimodal optimization Reinforcement learning
ISSN:	2210-6502
Online-Zugang:	Volltext
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