Presentation 2008-03-28
A Modified Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems
Naoto YOKOTA, Yoshihiko HORIO, Kazuyuki AIHARA, Mikio HASEGAWA,
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Abstract(in English) A tabu search was implemented on a chaotic neural network showing great performance in solving a quadratic assignment problem (QAP). We have implemented the exponential chaotic tabu search into a hardware system for size-10 QAPs. Experimental results with the hardware system confirmed superb performance of the system. In the original chaotic tabu search algorithm, each neuron is sequentially updated. Because of this sequential update, the hardware system cannot fully utilize its inherent parallelism. In this paper, we propose a synchronous updating scheme, which simultaneously updates all the neuronal states. Furthermore, we modify the chaotic neuron model for the synchronous updating scheme. In addition, we propose a new solution construction technique in which not only the neuron with the maximum internal state is used, but neurons with 2nd-, 3rd-, and so on, maximum internal states are also considered. Simulation results confirm quick and effective solving ability of the proposed synchronous exponential chaotic tabu search scheme.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Chaotic Neural Network / Tabu Search / Quadratic Assignment Problems
Paper # NLP2007-175
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Conference Information
Committee NLP
Conference Date 2008/3/21(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Modified Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems
Sub Title (in English)
Keyword(1) Chaotic Neural Network
Keyword(2) Tabu Search
Keyword(3) Quadratic Assignment Problems
1st Author's Name Naoto YOKOTA
1st Author's Affiliation Graduate School of Engineering, Tokyo Denki University()
2nd Author's Name Yoshihiko HORIO
2nd Author's Affiliation Graduate School of Engineering, Tokyo Denki University:Aihara Complexity Modelling Project, ERATO, JST
3rd Author's Name Kazuyuki AIHARA
3rd Author's Affiliation Aihara Complexity Modelling Project, ERATO, JST:Institute of Industrial Science, The University of Tokyo
4th Author's Name Mikio HASEGAWA
4th Author's Affiliation Faculty of Engineering, Tokyo University of Sience
Date 2008-03-28
Paper # NLP2007-175
Volume (vol) vol.107
Number (no) 561
Page pp.pp.-
#Pages 6
Date of Issue