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Indexed by:期刊论文

Date of Publication:2008-09-15

Journal:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Included Journals:EI、CPCI-S、Scopus

Volume:5227 LNAI

Page Number:140-147

ISSN No.:3540859837

Key Words:Generalized differential evolution; estimation of distribution algorithm; multi-objective optimization

Abstract:This paper proposed a multi-objective evolutionary algorithm (called by GDE-EDA hereinafter). The proposed algorithm combined a generalized differential evolution (DE) with an estimation of distribution algorithm (EDA). This combination can simultaneously use global information of population extracted by EDA and differential information by DE. Thus, GDE-EDA can obtain a better distribution of the solutions by EDA while keeping the fast convergence exhibited by DE. The experimental results of the proposed GDE-EDA algorithm were reported on a suit of widely used test functions, and compared with GDE and NSGA-II in the literature. © 2008 Springer-Verlag Berlin Heidelberg.