A constrained multi-objective evolutionary algorithm with two-stage resources allocation

The tradeoff between feasibility and optimality is critical to handling constrained multi-objective optimization problems (CMOPs). Thus, many constrained multi-objective evolutionary algorithms (CMOEAs) with multiple stages or multiple populations have been proposed in recent years. However, these a...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 79; S. 101313
Hauptverfasser:	Xia, Mingming, Chong, Qing, Dong, Minggang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2023
Schlagworte:	Constrained multi-objective optimization Constraint handling Evolutionary algorithm Resources allocation Constraint handling Resources allocation Constrained multi-objective optimization Evolutionary algorithm
ISSN:	2210-6502
Online-Zugang:	Volltext
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