Presentation 1997/9/19
Optimization of Discrete Route by Genetic Algorithms with the Variable Number of Gene
Nobuyuki ICHIMASA, Yasunari YOKOTA, Sumio WATANABE,
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Abstract(in English) The genetic algorithms is an optimization technique simulating of natural evolution, which has been successfully applied to several optimization problems which are difficult to solve exactly by conventional methods. This paper proposes a method for route optimization of mobile service station by genetic algorithms with the variable number of gene. We further adopt a modified target function, in which adaptability for a chromosome which is similar to others in the population is estimated worse, and the remaking population method, in which, at intervals of specified genetic cycles, the specified number of chromosomes in the population are replaced by new chromosomes generated by the same method as generating population in first generation. The effectiveness of the proposed method is shown by applying to the problem of the route optimization for garbage trucks.
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Keyword(in English) Genetic algorithms / Optimal route and positioning problems / Variable number of gene / Modified target function / Remaking population method
Paper # NLP97-80
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Committee NLP
Conference Date 1997/9/19(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) Optimization of Discrete Route by Genetic Algorithms with the Variable Number of Gene
Sub Title (in English)
Keyword(1) Genetic algorithms
Keyword(2) Optimal route and positioning problems
Keyword(3) Variable number of gene
Keyword(4) Modified target function
Keyword(5) Remaking population method
1st Author's Name Nobuyuki ICHIMASA
1st Author's Affiliation Electronics and Computer Engineering Division, Graduate school of Engineering, Gifu University()
2nd Author's Name Yasunari YOKOTA
2nd Author's Affiliation Department of Information Science, Faculty of Engineering ,Gifu University
3rd Author's Name Sumio WATANABE
3rd Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
Date 1997/9/19
Paper # NLP97-80
Volume (vol) vol.97
Number (no) 258
Page pp.pp.-
#Pages 8
Date of Issue