Theory and Applications of Chaotic Optimization Methods

Author:

Ikeguchi Tohru,Hasegawa Mikio,Kimura Takayuki,Matsuura Takafumi,Aihara Kazuyuki

Publisher

Springer Berlin Heidelberg

Reference103 articles.

1. Hopfield, J.J., Tank, D.W.: ‘Neural’ computation of decisions in optimization problems. Biol. Cybern. 52, 141–152 (1985)

2. Hayakawa, Y., Marumoto, A., Sawada, Y.: Effects of the chaotic noise on the performance of a neural network model for optimization problems. Phys. Rev. E 51, 2693–2696 (1995)

3. Hasegawa, M., Ikeguchi, T., Matozaki, T., Aihara, K.: An analysis of additive effects of nonlinear dynamics for combinatorial optimization. IEICE Trans. Fundamentals E80-A(1), 206–213 (1997)

4. Lecture Notes in Computer Science;M. Hasegawa,2008

5. Uwate, Y., Nishio, Y., Ueta, T., Kawabe, T., Ikeguchi, T.: Performance of chaos and burst noises injected to the hopfield nn for quadratic assignment problems. IEICE Trans. Fundamentals E87-A(4), 937–943 (2004)

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