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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Chaotic Neural Network / Quadratic Assignment Problems / Firing Rates |
Paper # | NLP2001-103 |
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Committee | NLP |
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Conference Date | 2002/3/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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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 |