Adaptive constraint handling technique selection for constrained multi-objective optimization

Constrained multi-objective optimization problems involve the optimization of multiple conflicting objectives simultaneously subject to a number of constraints, which pose a great challenge for the existing algorithms. When utilizing evolutionary algorithms to solve them, the constraint handling tec...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 86; S. 101488
Hauptverfasser:	Wang, Chao, Liu, Zhihao, Qiu, Jianfeng, Zhang, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2024
Schlagworte:	Constrained multiobjective optimization Constraint handling technique Deep reinforcement learning Evolutionary algorithm Operator Constrained multiobjective optimization Operator Deep reinforcement learning Evolutionary algorithm Constraint handling technique
ISSN:	2210-6502
Online-Zugang:	Volltext
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