Presentation | 2005/6/17 A Hybrid Real-Coded Genetic Algorithm with Local Search and Its Applications Hong ZHANG, Masumi ISHIKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To improve the performance of search by a hybrid real-coded genetic algorithm with local search, we propose to use BLX-α crossover which contains mutation operator instead of the simple crossover. We carry out simulation experiments on iris classification to demonstrate the effectiveness of the proposed method with diversity of individuals. We generate classification models with better performance, and compare the performance of the resulting classification models based on the Spearman's rank correlation coefficient between their classification rates for training data and test data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | real-coded genetic algorithms / local search / global search / iris classification / generalization |
Paper # | NC2005-28 |
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Committee | NC |
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Conference Date | 2005/6/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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 Hybrid Real-Coded Genetic Algorithm with Local Search and Its Applications |
Sub Title (in English) | |
Keyword(1) | real-coded genetic algorithms |
Keyword(2) | local search |
Keyword(3) | global search |
Keyword(4) | iris classification |
Keyword(5) | generalization |
1st Author's Name | Hong ZHANG |
1st Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology() |
2nd Author's Name | Masumi ISHIKAWA |
2nd Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology |
Date | 2005/6/17 |
Paper # | NC2005-28 |
Volume (vol) | vol.105 |
Number (no) | 131 |
Page | pp.pp.- |
#Pages | 6 |
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