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Proceedings of the 2nd International Symposium on Information Processing (ISIP 2009)

Huangshan, China, August 21-23, 2009

Editors: Fei Yu, Jian Shu, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN002

ISBN: 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)

Page(s): 263-266

Application of An Improved Genetic Algorithms in Artificial Neural Networks

Huawang Shi and Yong Deng

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This article proposed improved genetic algorithms(IGA) incorporates simulated annealing into a basic genetic algorithm with momentum that enables the algorithm to perform genetic search over the subspace of local optima. The computational results suggest that the IGA algorithm have good ability of solving the problem and the performance of IGA is very promising because it is able to find an optimal or near-optimal solution for the test problems and indicated that IGA was successful in evolving ANNs.

Index Terms

BP neural network, genetic algorithms, simulated annealing, improved genetic algorithms, momentum

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