A Generalized Differential Evolution Combined with EDA for Multi-objective Optimization Problems
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- 作者：Wang Chen ; Yan-jun Shi ; Hong-fei Teng
- 关键词：Generalized differential evolution ; estimation of distribution algorithm ; multi ; objective optimization
- 刊名：Lecture Notes in Computer Science
- 出版时间：2008
- 出版年：2008
- 期刊代码：99_0302-9743
- 类别：cp
- 卷：5227
- 期：1
- 页码：140-147
- 数据来源：sp
摘要
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.