MOEA/D-SQA: a multi-objective memetic algorithm based on decomposition

A multi-objective memetic algorithm based on decomposition is proposed in this article, in which a simplified quadratic approximation (SQA) is employed as a local search operator for enhancing the performance of a multi-objective evolutionary algorithm based on decomposition (MOEA/D). The SQA is use...

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Vydané v:	Engineering optimization Ročník 44; číslo 9; s. 1095 - 1115
Hlavní autori:	Tan, Yan-Yan, Jiao, Yong-Chang, Li, Hong, Wang, Xin-Kuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 01.09.2012 Taylor & Francis Ltd
Predmet:	Algorithms Approximation Benchmarks Decomposition Genetic algorithms Mathematical analysis multi-objective memetic algorithm multi-objective optimization Optimization Performance enhancement quadratic approximation Searching Strategy
ISSN:	0305-215X, 1029-0273
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