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
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;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1181257
