Presentation 2021-01-29
A Method for Solving Traveling Salesman Problems Using Switching of Crossover by Chaotic Neurodynamics
Masayuki Kashiwagi, Tomoki Ishizawa, Toshihiro Tashibana,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we solve traveling salesman problems using genetic algorithm. The genetic algorithm is a heuristic method that uses selection, crossover, and mutation to find a solution. In general, this algorithm applies one type of crossover, but the optimal crossover varies depending on the problem to be solved. Therefore, we propose to use chaotic neural dynamics to adaptively use multiple crossovers. Proposed method and conventional methods are tested in simulation experiments using benchmark problems. The three types of crossovers used in the conventional method are ordered crossover, partially-mapped crossover, and uniform partially-mapped crossover. The simulation experiments show that the proposed method is equivalent to conventional methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Traveling salesman problem / Genetic Algorithm / Chaotic neural network / Crossover
Paper # CAS2020-60,ICTSSL2020-45
Date of Issue 2021-01-21 (CAS, ICTSSL)

Conference Information
Committee CAS / ICTSSL
Conference Date 2021/1/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Students session, General session
Chair Yasuhiro Takashima(Univ. of Kitakyushu) / Hiroshi Tamura(Chuo Univ.)
Vice Chair Hiroki Sato(Sony LSI Design) / Koichi Gyoda(Shibaura Inst. of Tech.) / Munenari Inoguchi(Toyama Univ.)
Secretary Hiroki Sato(Yamanashi Univ.) / Koichi Gyoda(Sony LSI Design) / Munenari Inoguchi(Synspective)
Assistant Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Shunichi Yokoyama(NIED)

Paper Information
Registration To Technical Committee on Circuits and Systems / Technical Committee on Information and Communication Technologies for Safe and Secure Life
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Method for Solving Traveling Salesman Problems Using Switching of Crossover by Chaotic Neurodynamics
Sub Title (in English)
Keyword(1) Traveling salesman problem
Keyword(2) Genetic Algorithm
Keyword(3) Chaotic neural network
Keyword(4) Crossover
1st Author's Name Masayuki Kashiwagi
1st Author's Affiliation Shonan Institute of Technology(Shonan Inst. of Tech.)
2nd Author's Name Tomoki Ishizawa
2nd Author's Affiliation Shonan Institute of Technology(Shonan Inst. of Tech.)
3rd Author's Name Toshihiro Tashibana
3rd Author's Affiliation Shonan Institute of Technology(Shonan Inst. of Tech.)
Date 2021-01-29
Paper # CAS2020-60,ICTSSL2020-45
Volume (vol) vol.120
Number (no) CAS-346,ICTSSL-347
Page pp.pp.111-114(CAS), pp.111-114(ICTSSL),
#Pages 4
Date of Issue 2021-01-21 (CAS, ICTSSL)