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Paper Abstract and Keywords
Presentation 2007-01-18 11:20
Two local searches for combinatorial optimization driven by chaotic dynamics
Takashi Hoshino, Takayuki Kimura, Tohru Ikeguchi (Saitama Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, we have proposed a method for solving vehicle routing problem (VRP) with time windows using chaotic dynamics. Although this method is very effective for the VRP, it relatively takes a long time to obtain a solution because of complexity of a local search. In this report, we propose a new method for solving the VRP in which a chaotic dynamics drives two simple local searches. The first one is insertion, and the second one is exchange. As the results, we found that the new method can quickly solve the VRP, with good performance.
Keyword (in Japanese) (See Japanese page) 
(in English) vehicle routing problem / chaos / dynamics / chaotic neural network / / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 452, NLP2006-130, pp. 23-28, Jan. 2007.
Paper # NLP2006-130 
Date of Issue 2007-01-11 (NLP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee NLP  
Conference Date 2007-01-17 - 2007-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To NLP 
Conference Code 2007-01-NLP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Two local searches for combinatorial optimization driven by chaotic dynamics 
Sub Title (in English)  
Keyword(1) vehicle routing problem  
Keyword(2) chaos  
Keyword(3) dynamics  
Keyword(4) chaotic neural network  
1st Author's Name Takashi Hoshino  
1st Author's Affiliation Saitama University (Saitama Univ.)
2nd Author's Name Takayuki Kimura  
2nd Author's Affiliation Saitama University (Saitama Univ.)
3rd Author's Name Tohru Ikeguchi  
3rd Author's Affiliation Saitama University (Saitama Univ.)
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Date Time 2007-01-18 11:20:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2006-130 
Volume (vol) IEICE-106 
Number (no) no.452 
Page pp.23-28 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2007-01-11 

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