A Multi-objective Differential Evolutionary Algorithm Based on Spacial Distance

被引：0
|
作者：
Zheng, Jinhua [1 ]
Wu, Jun [1 ]
Lv, Hui [1 ]
机构：
[1] Xiangtan Univ, Inst Informat Engn, Xiangtan 411105, Peoples R China
来源：
ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS | 2008年 / 5370卷
关键词：
multi-objective evolutionary algorithm; multi-objective optimal problem; Differential Evolutionary; Spacial Distance;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Differential Evolution (DE) is a relatively new EA and it has become a major branch of EA. Based on the classical Differential Evolution. we proposed a new Multi-Objective Differential Evolutionary Algorithm ill this paper. Compared with NSGA-II and epsilon-MOEA, the experimental results demonstrate that the new algorithm tends to be more effective in obtaining good convergence and can converge to the true Pareto front with comparable efficiency.
引用
收藏
页码：152 / 161
页数：10
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