Study of chaos genetic algorithms and its application in neural networks

被引：6

作者：

You, Y ^{[1
]}

Sheng, WX ^{[1
]}

Wang, SA ^{[1
]}

机构：

[1] Xian Jiaotong Univ, Xian 710049, Peoples R China

来源：

2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS | 2002年

关键词：

chaos; genetic algorithms; chaos GA;

D O I：

10.1109/TENCON.2002.1181257

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, based on the relationship between chaos and evolution of chaotic theory, chaos is combined with Genetic Algorithm. A new hybrid strategy is proposed in order to overcome the weakness of Simple Genetic Algorithm (SGA). The Hybrid Chaos GA is applied in Neural Networks and simulations show that the Chaos GA is better than SGA in speed of searching and precision of optimization.

引用

页码：232 / 235

页数：4

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