Presentation 2010-03-09
Soft Tabu Search for Solving Traveling Salesman Problem
Takafumi MATSUURA, Tohru IKEGUCHI,
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Abstract(in English) To avoid local minima of combinatorial optimization problems, the tabu search have been proposed. Although the tabu search is one of the powerful meta-heuristic methods for the traveling salesman problem and the quadratic assignment problem, the tabu search is not effective for the motif extraction problem because the tabu effect of the tabu search is too strong. Then, we have already proposed a soft tabu search to resolve this problem. Most different point between the soft tabu search and the tabu search is that the tabu effect in the tabu search prohibits to select the same solutions for a while, while in the soft tabu search, the same solutions are hard to be selected for a while. Due to such weak tabu effect, the soft tabu search shows good performances for the motif extraction problem. In this report, to investigate searching ability of the soft tabu search, we apply the soft tabu search to the traveling salesman problem. As a result, the soft tabu search shows also higher performance than the tabu search for the traveling salesman problem.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Traveling Salesman Problem / tabu search / soft tabu search / 2-opt algorithm / meta-heuristics
Paper # NLP2009-163
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Conference Information
Committee NLP
Conference Date 2010/3/2(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Soft Tabu Search for Solving Traveling Salesman Problem
Sub Title (in English)
Keyword(1) Traveling Salesman Problem
Keyword(2) tabu search
Keyword(3) soft tabu search
Keyword(4) 2-opt algorithm
Keyword(5) meta-heuristics
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 Saitama Uneversity Brain Science Institute
Date 2010-03-09
Paper # NLP2009-163
Volume (vol) vol.109
Number (no) 458
Page pp.pp.-
#Pages 6
Date of Issue