Presentation | 1999/5/14 Dynamic Growth Control of Trees in Genetceterasic Prograrmming Noritaka SHIGEI, Motonori TAYA, Hiromi MIYAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In traditional genetic programming (GP), the explosive growth of trees often occurs, and it requires an enormous amount of calculation. To conquer this difficulty, we consider fitness functions based on error and complexity terms. Although the fitness functions can restrain growth of tree, the balance of error and complexity terms is important to prevent excessive restraint of tree growth. In this paper, we present a new method dynamically balancing error and complexity terms. Our method is compared with the method already proposed by Zhang et al. The effectiveness of our method is shown by a computer simulation on symbolic regressions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | genetic programming / growth control of trees / fitness / error / description length / symbolic regression |
Paper # | NLP99-12 |
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Committee | NLP |
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Conference Date | 1999/5/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Dynamic Growth Control of Trees in Genetceterasic Prograrmming |
Sub Title (in English) | |
Keyword(1) | genetic programming |
Keyword(2) | growth control of trees |
Keyword(3) | fitness |
Keyword(4) | error |
Keyword(5) | description length |
Keyword(6) | symbolic regression |
1st Author's Name | Noritaka SHIGEI |
1st Author's Affiliation | Shimane University() |
2nd Author's Name | Motonori TAYA |
2nd Author's Affiliation | Nara Institute of Science and Technology |
3rd Author's Name | Hiromi MIYAJIMA |
3rd Author's Affiliation | Kagoshima University |
Date | 1999/5/14 |
Paper # | NLP99-12 |
Volume (vol) | vol.99 |
Number (no) | 42 |
Page | pp.pp.- |
#Pages | 7 |
Date of Issue |