An improvement decomposition-based multi-objective evolutionary algorithm using multi-search strategy

The main goal of multi-objective optimization evolutionary algorithms (MOEAs) is to obtain a set of solutions with good diversity and convergence. However, how to concurrently improve the diversity and convergence is a difficult work. To address this problem, an updated strategy based on decompositi...

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Vydané v:	Knowledge-based systems Ročník 163; s. 572 - 580
Hlavní autori:	Dong, Ning, Dai, Cai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.01.2019 Elsevier Science Ltd
Predmet:	Algorithms Convergence Crossovers Decomposition Evolutionary algorithms Experiments Exploitation Genetic algorithms Global local relationship Multi-objective optimization Multi-search strategy Multiple objective analysis Objectives Operators Optimization Search methods Search strategies State of the art Strategies Strategy Multi-search strategy Multi-objective optimization Decomposition
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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