An enhanced multi-objective evolutionary optimization algorithm with inverse model

Multi-objective evolutionary algorithm based on the inverse model (IM-MOEA) is a popular method to solve multi-objective optimization problems (MOPs). However, IM-MOEA has some drawbacks such as low accuracy and difficulty in dealing with MOPs with irregular PFs. To address these issues, adaptive re...

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Vydáno v:	Information sciences Ročník 530; s. 128 - 147
Hlavní autoři:	Zhang, Zhechen, Liu, Sanyang, Gao, Weifeng, Xu, Jingwei, Zhu, Shengqi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.08.2020
Témata:	Adaptive reference vector Estimation of distribution algorithms (EDAs) Gaussian processes (GPs) Inverse modelling Multi-objective optimization Nonrandom grouping Nonrandom grouping Multi-objective optimization Adaptive reference vector Inverse modelling Gaussian processes (GPs) Estimation of distribution algorithms (EDAs)
ISSN:	0020-0255, 1872-6291
On-line přístup:	Získat plný text
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