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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Bibliographic Details

Published in:	Information sciences Vol. 569; pp. 430 - 449
Main Authors:	Liu, Tingrui, Li, Xin, Tan, Liguo, Song, Shenmin
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2021
Subjects:	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
Online Access:	Get full text
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