Presentation 2009-11-11
Solving Traveling Salesman Problem Using 2-opt and Or-opt Algorithms Driven by Chaotic Neurons
Takafumi MATSUURA, Tohru IKEGUCHI,
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Abstract(in English) To find near optimum solutions of TSPs, a method with chaotic neurodynamics for solving TSPs has already been proposed. To avoid local minima, in the method, 2-opt algorithm and Or-opt algorithm for solving TSP are driven by chaotic neurodynamics. In the method, two local searches are driven by the same chaotic neuron. As a result, this method shows good performance, even though the 2-opt and the Or-opt algorithms are simple local search. In this report, to improve the performance of this method, we propose a new method. In the proposed method, the 2-opt and Or-opt algorithms are driven by different chaotic neurons. As a result, the proposed method shows higher performance than the previous chaotic search methods.
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Keyword(in English) Traveling Salesman Problem / Chaotic Neural Network / 2-opt algorithm / Or-opt algorithm
Paper # NLP2009-93
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Conference Information
Committee NLP
Conference Date 2009/11/4(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 Traveling Salesman Problem Using 2-opt and Or-opt Algorithms Driven by Chaotic Neurons
Sub Title (in English)
Keyword(1) Traveling Salesman Problem
Keyword(2) Chaotic Neural Network
Keyword(3) 2-opt algorithm
Keyword(4) Or-opt algorithm
1st Author's Name Takafumi MATSUURA
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:Saitama Uneversity Brain Science Institute
Date 2009-11-11
Paper # NLP2009-93
Volume (vol) vol.109
Number (no) 269
Page pp.pp.-
#Pages 6
Date of Issue