Presentation 2009-05-15
Solving Quadratic Assignment Problems by Chaotic Neural Network with Dynamical Noise
Takayuki SUZUKI, Shun MOTOHASHI, Takafumi MATSUURA, Tohru IKEGUCHI,
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Abstract(in English) The quadratic assignment problem (QAP) is one of the most difficult NP-hard combinatorial optimization problems. To solve the QAP, various approximate algorithms for finding near optimal solutions have already been proposed. Among them, the Hopfield-Tank neural network approach is attractive from a viewpoint of an application of neural dynamics to combinatorial optimization. However, this approach is not so effective because of the local minimum problem. To solve this problem, a method which uses chaotic dynamics has already been proposed. As a result, this method shows good performance. On the other hand, to avoid undesirable local minima, dynamical noise is often used. Then, we proposed a method which uses two approaches for avoiding local minima-chaotic dynamics and dynamical noise. As a result, when a small amount of dynamical noise is added, the proposed method shows higher performance. In this paper, we investigate the reason why chaotic neural network (CNN) with additive dynamical noise searches good solutions. Then, to quantify chaotic dynamics, we calculate Lyapunov spectra of CNN with dynamical noise, and investigate the relation between the solving performance and Lyapunov exponents.
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Keyword(in English) Quadratic Assignment Problem / Chaotic Neural Network / Dynamical noise
Paper # NLP2009-11
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Committee NLP
Conference Date 2009/5/8(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Solving Quadratic Assignment Problems by Chaotic Neural Network with Dynamical Noise
Sub Title (in English)
Keyword(1) Quadratic Assignment Problem
Keyword(2) Chaotic Neural Network
Keyword(3) Dynamical noise
1st Author's Name Takayuki SUZUKI
1st Author's Affiliation Graduate School of Science and Engineering, Saitama University()
2nd Author's Name Shun MOTOHASHI
2nd Author's Affiliation Graduate School of Science and Engineering, Saitama University
3rd Author's Name Takafumi MATSUURA
3rd Author's Affiliation Graduate School of Science and Engineering, Saitama University
4th Author's Name Tohru IKEGUCHI
4th Author's Affiliation Graduate School of Science and Engineering, Saitama University
Date 2009-05-15
Paper # NLP2009-11
Volume (vol) vol.109
Number (no) 30
Page pp.pp.-
#Pages 6
Date of Issue