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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Vydané v:	IEEE transactions on evolutionary computation Ročník 27; číslo 4; s. 908 - 922
Hlavní autori:	Zhang, Yong, Ji, Xin-Fang, Gao, Xiao-Zhi, Gong, Dun-Wei, Sun, Xiao-Yan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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