A hybrid genetic algorithm based on mutative scale chaos optimization strategy

被引：2

作者：

Wang, Y ^{[1
]}

Sun, HW

Sun, YK

机构：

[1] Jinan Univ, Sch Informat Sci & Engn, Jinan 250022, Peoples R China

[2] Jinan Univ, Sch Sci, Jinan 250022, Peoples R China

[3] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China

来源：

JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING | 2002年 / 9卷 / 06期

关键词：

genetic algorithm; chaos; mutative scale; optimization;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In order to avoid such problems as low convergent speed and local optimal solution in simple genetic algorithms, a new hybrid genetic algorithm is proposed. In this algorithm, a mutative scale chaos optimization strategy is operated on the population after a genetic operation. And according to the searching process, the searching space of the optimal variables is gradually diminished and the regulating coefficient of the secondary searching process is gradually changed which will lead to the quick evolution of the population. The algorithm has such advantages as fast search, precise results and convenient using etc. The simulation results show that the performance of the method is better than that of simple genetic algorithms.

引用

页码：470 / 473

页数：4