Presentation | 2004-06-21 A new selection method in a genetic algorithm : Theory Tetsuaki HIRAHAYA, Satoshi SAWATANI, Yasuko MUNEHISA, Tomo MUNEHISA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Genetic algorithms have the fault that the optimal solution attainment is not guaranteed. In order to guarantee the convergence, there is an approach which applies simulated anealings to genetic algorithms. However, applying this method to genetic algorithms breaks the guarantee. We propose a new selection method in order to guarantee the convergence by the on-off probability function. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Genetic algorithms / Markov chain / Boltzmann distribution |
Paper # | AI2004-9 |
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Committee | AI |
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Conference Date | 2004/6/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A new selection method in a genetic algorithm : Theory |
Sub Title (in English) | |
Keyword(1) | Genetic algorithms |
Keyword(2) | Markov chain |
Keyword(3) | Boltzmann distribution |
1st Author's Name | Tetsuaki HIRAHAYA |
1st Author's Affiliation | Faculty of Engineering, Univ. Yamanashi() |
2nd Author's Name | Satoshi SAWATANI |
2nd Author's Affiliation | Faculty of Engineering, Univ. Yamanashi |
3rd Author's Name | Yasuko MUNEHISA |
3rd Author's Affiliation | Faculty of Engineering, Univ. Yamanashi |
4th Author's Name | Tomo MUNEHISA |
4th Author's Affiliation | Faculty of Engineering, Univ. Yamanashi |
Date | 2004-06-21 |
Paper # | AI2004-9 |
Volume (vol) | vol.104 |
Number (no) | 133 |
Page | pp.pp.- |
#Pages | 6 |
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