An incremental-learning model-based multiobjective estimation of distribution algorithm

Knowledge obtained from the properties of a Pareto-optimal set can guide an evolutionary search. Learning models for multiobjective estimation of distributions have led to improved search efficiency, but they incur a high computational cost owing to their use of a repetitive learning or iterative st...

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Vydané v:	Information sciences Ročník 569; s. 430 - 449
Hlavní autori:	Liu, Tingrui, Li, Xin, Tan, Liguo, Song, Shenmin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.08.2021
Predmet:	Estimation of distribution Evolutionary algorithm Gaussian mixture model Incremental learning Multiobjective optimization Incremental learning Estimation of distribution Evolutionary algorithm Multiobjective optimization Gaussian mixture model
ISSN:	0020-0255, 1872-6291
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