Presentation 1996/12/14
Two Design Methods for The Genetic Algorithms in Changing Environments
Toshie Nakamura, Sumio Watanabe,
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Abstract(in English) We propose two design methods for the genetic algorithms in the changing environment where the target function to be maximized is always changing. In the first method, we dopt a modified target function, by which a gene in the group of similar genes is estimated smaller. This method prevents genes from concentrating on a few points, and is effective in the problem in which the global maximum is often skipping from a local maximum to another. In the second method, at the intervals of the long genetic cylces, we select the limitted number of genes and create a new group only by the mutation. The second method is effective when the places of local maxima are drastically changed. The effectiveness of the proposed methods is shown by an application to the traveling salesman problem.
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Keyword(in English) Optimization Problem / Genetic Algorithms / Changing Environment / Travel Salesman Problem
Paper # NC96-65
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Committee NC
Conference Date 1996/12/14(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Two Design Methods for The Genetic Algorithms in Changing Environments
Sub Title (in English)
Keyword(1) Optimization Problem
Keyword(2) Genetic Algorithms
Keyword(3) Changing Environment
Keyword(4) Travel Salesman Problem
1st Author's Name Toshie Nakamura
1st Author's Affiliation Department of Electronics and Computer Engineering, Faculty of Engineering, Gifu university()
2nd Author's Name Sumio Watanabe
2nd Author's Affiliation Department of Electronics and Computer Engineering, Faculty of Engineering, Gifu university
Date 1996/12/14
Paper # NC96-65
Volume (vol) vol.96
Number (no) 430
Page pp.pp.-
#Pages 8
Date of Issue