Release Time:2019-03-11  Hits:

Indexed by: Journal Article

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: Scopus、CPCI-S、EI

Volume: 5227 LNAI

Page Number: 140-147

ISSN: 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.