Presentation 2001/1/26
A Modified Solving Technique of the Quadratic Assignment Problem Using Chaotic-Neuro-Dynamics for Analog IC Implementation
Kentaro TANAKA, Yoshihiko HORIO, Kazuyuki AIHARA,
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Abstract(in English) A quadratic assignment problem (QAP) is one of the NP-hard combinatorial optimization problems, which is very difficult to solve.Various heuristic methods to solve the QAP such as taboo search have been proposed.The taboo search technique has been implemented in a neural network form [3].Moreover, chaotic dynamics has been used in the network to avoid the local minima problem [3]-[5].In order to achieve a high-speed massively parallel solution of the QAP, this method with chaotic-neuro-dynamics should be realized with an analog integrated circuit technology.In this paper, the original algorithm is modified considering the analong IC implementation.The effects of the modification are investigated by numerical simulations.
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Keyword(in English) Combinatorial Optimization Problem / QAP / Chaotic Neural Networks
Paper # NLP2000-145
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Committee NLP
Conference Date 2001/1/26(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 Solving Technique of the Quadratic Assignment Problem Using Chaotic-Neuro-Dynamics for Analog IC Implementation
Sub Title (in English)
Keyword(1) Combinatorial Optimization Problem
Keyword(2) QAP
Keyword(3) Chaotic Neural Networks
1st Author's Name Kentaro TANAKA
1st Author's Affiliation Dept.of Electronic Engineering, Tokyo Denki University()
2nd Author's Name Yoshihiko HORIO
2nd Author's Affiliation Dept.of Electronic Engineering, Tokyo Denki University
3rd Author's Name Kazuyuki AIHARA
3rd Author's Affiliation University of Tokyo : CREST : JST
Date 2001/1/26
Paper # NLP2000-145
Volume (vol) vol.100
Number (no) 609
Page pp.pp.-
#Pages 6
Date of Issue