DocumentCode
390616
Title
Study of chaos genetic algorithms and its application in neural networks
Author
Yong, You ; Wanxing, Sheng ; Sunan, Wang
Author_Institution
Xi´´an Jiaotong Univ., China
Volume
1
fYear
2002
fDate
28-31 Oct. 2002
Firstpage
232
Abstract
In this paper, based on the relationship between chaos and evolution of chaotic theory, chaos is combined with a genetic algorithm. A new hybrid strategy is proposed in order to overcome the weakness of the 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.
Keywords
chaos; engineering computing; genetic algorithms; learning (artificial intelligence); neural nets; search problems; chaos genetic algorithms; engineering; hybrid chaos GA; neural networks; optimization precision; searching speed; Biological information theory; Chaos; Design optimization; Equations; Evolution (biology); Genetic algorithms; Genetic mutations; Intelligent networks; Neural networks; Nonlinear dynamical systems;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN
0-7803-7490-8
Type
conf
DOI
10.1109/TENCON.2002.1181257
Filename
1181257
Link To Document