Objective-Constraint Mutual-Guided Surrogate-Based Particle Swarm Optimization for Expensive Constrained Multimodal Problems

Expensive constraint multimodal optimization problems (ECMMOPs) have such characteristics as expensive objectives and constraints, and multiple optimal modalities simultaneously, which pose severe challenges to evolutionary optimization methods. This article studies an objective-constraint mutual-gu...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 27; H. 4; S. 908 - 922
Hauptverfasser:	Zhang, Yong, Ji, Xin-Fang, Gao, Xiao-Zhi, Gong, Dun-Wei, Sun, Xiao-Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational modeling Computing costs Constraints Costs Evolutionary algorithms Mathematical models multimodal optimization Optimization Particle swarm optimization particle swarm optimization (PSO) Predictive models Search problems Strategy surrogate model
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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