A population-oriented hybrid search surrogate-assisted evolutionary algorithm for expensive constrained optimization multi-objective problems with small feasible regions

Multi-objective optimization problems with expensive objectives and constraints frequently arise in real industries, such problems are called expensive constrained multi-objective optimization problems(ECMOPs). Due to the expensive cost of actual fitness calculations, constructing suitable surrogate...

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Vydáno v:	Swarm and evolutionary computation Ročník 99; s. 102161
Hlavní autoři:	Zhu, Cong, Yang, Yongkuan, Kong, Xiangsong, Li, Wenji
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2025
Témata:	Data-driven Expensive constrained multi-objective optimization Multiple search strategies Small feasible region Surrogate models Expensive constrained multi-objective optimization Data-driven Surrogate models Small feasible region Multiple search strategies
ISSN:	2210-6502
On-line přístup:	Získat plný text
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