Multi-start genetic algorithm for preventing UV-phenomenon

被引:0
|
作者
Suenaga, Arata [1 ]
Li, Lei [1 ]
机构
[1] Hosei Univ, Grad Sch Engn, Tokyo 1848584, Japan
来源
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES | 2004年 / 3卷
关键词
genetic algorithm; real-coded GA; function optimization; uv-phenomenon; multi-start genetic algorithm;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In recent years, it is reported that there are many problems with UV-structure, in real problems, such as a lens design problem and protein structure presumption. The fatal performance fall of a genetic algorithm (GA) is caused by UV-phenomenon. Although research has been done so far in order to avoid UV-phenomenon, dissatisfaction was in accuracy or the quantity of use resources. In this paper, we propose a Multi-start Genetic Algorithm (MGA) which is the new evolutionary computation of performing GA of a small scale excellent in local search two or more times. And. we tested this method to optimization of the Fletcher & Powell function (FP function) which is a function with typical UV-structure, and proved the high reliability and saving-resources.
引用
收藏
页码:331 / 336
页数:6
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