Real-coded chaotic quantum-inspired genetic algorithm for training of fuzzy neural networks-Reference-Cited by-同舟云学术

Real-coded chaotic quantum-inspired genetic algorithm for training of fuzzy neural networks

Published:2009-06 Issue:11-12 Volume:57 Page:2009-2015
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Zhao Shuanfeng,Xu Guanghua,Tao Tangfei,Liang Lin

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference6 articles.

1. A. Narayanan, M. Moore, Quantum inspired genetic algorithm, in: IEEE International Conference on Evolutionary Computation, Piscataway, January, 1996, pp. 61-66

2. Quantum-inspired evolutionary algorithm for a class of combinatorial optimization;Han;IEEE Transactions on Evolutionary Computation,2002

3. K.-H. Han, J.-H. Kim, Genetic quantum algorithm and its application to combinatorial optimization problem, in: IEEE International Conference on Evolutionary Computation, La Jolla, 2000, pp. 1354–1360

4. A novel quantum genetic algorithm and its application;Zhou;ACTA Electronica Sinica,2004

5. A study of the t s fuzzy rbf neural network;Bao;Journal of Huahong University of Science and Technology,1999

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