Presentation 2002/3/8
Performance Evaluation of An Optimization Method for Quadratic Assignment Problems by Chaotic Dynamics
Keiichi SATO, Tohru IKEGUCHI, Mikio HASEGAWA, Kazuyuki AIHARA,
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Abstract(in English) We have already proposed a new coding technique for deciding output values in an optimization method for quadratic assignment problems (QAP) by the chaotic neural network (CNN). According to its coding method, we reported that we can obtain good solutions, since the method always offers feasible solutions. In this paper, we report that, in an opimization method for QAP by CNN, we can controll firing rates of CNN by changing paranieter values, and there are characteristic relations between firing rates of CNN and size of problems.
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Keyword(in English) Chaotic Neural Network / Quadratic Assignment Problems / Firing Rates
Paper # NLP2001-103
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Committee NLP
Conference Date 2002/3/8(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Evaluation of An Optimization Method for Quadratic Assignment Problems by Chaotic Dynamics
Sub Title (in English)
Keyword(1) Chaotic Neural Network
Keyword(2) Quadratic Assignment Problems
Keyword(3) Firing Rates
1st Author's Name Keiichi SATO
1st Author's Affiliation Graduate School of Science and Engineering, Saitama University()
2nd Author's Name Tohru IKEGUCHI
2nd Author's Affiliation Graduate School of Science and Engineering, Saitama University
3rd Author's Name Mikio HASEGAWA
3rd Author's Affiliation Wireless Communications Division, Communication Research Laboratory
4th Author's Name Kazuyuki AIHARA
4th Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo
Date 2002/3/8
Paper # NLP2001-103
Volume (vol) vol.101
Number (no) 723
Page pp.pp.-
#Pages 8
Date of Issue