Presentation | 2003/1/28 A Study on Analyses of Genetic Algorithms by using Mixture Models Jun-ichi IMAI, Hiroyuki SHIOYA, Masahito KUIRIHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Some mathematical models have been proposed for theoretical analyses of genetic algorithms (GAs) . However, these works have limited their objects to a few kinds of GAs in order to formulate them accurately. In this paper, we regard a GA as an information source that generates input-output data. That is, we regard a population and its next population generated by the GA as input and output respectively. Then we model the GA by learning from these data. By using this method, we can describe a variety of GAs in a common form, and analyze them from a new point of view. We use some mixture models for modeling GAs in this paper. By using a mixture model, we can represent the GA system as a combination of some partial systems. In this paper, we treat two types of mixture models, and investigate how these models are effective for analyzing GAs through some experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Genetic Algorithm / Mixture Model / Vector Field / Modeling by Learning |
Paper # | NC2002-128 |
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Committee | NC |
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Conference Date | 2003/1/28(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Analyses of Genetic Algorithms by using Mixture Models |
Sub Title (in English) | |
Keyword(1) | Genetic Algorithm |
Keyword(2) | Mixture Model |
Keyword(3) | Vector Field |
Keyword(4) | Modeling by Learning |
1st Author's Name | Jun-ichi IMAI |
1st Author's Affiliation | Graduate School of Engineering, Hokkaido University() |
2nd Author's Name | Hiroyuki SHIOYA |
2nd Author's Affiliation | Faculty of Engineering, Muroran Institute of Technology |
3rd Author's Name | Masahito KUIRIHARA |
3rd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
Date | 2003/1/28 |
Paper # | NC2002-128 |
Volume (vol) | vol.102 |
Number (no) | 628 |
Page | pp.pp.- |
#Pages | 6 |
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