Presentation | 2000/5/18 Improving Performance of GP by Adaptive Terminal Selection OK Sooyol, Miyashita Kazuo, Nishihara Seiichi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Genetic Programming(GP)is an evolutionary search algorithm which searches a computer program capable of producing the desired solution for a given problem. For the purpose, it is necessary that GP system has access to a set of features that are at least a superset of the features necessary to solve the problem. However, when the feature set given to GP is redundant, GP suffers substantial loss of its efficiency. This paper presents a new approach in GP to acquire relevant terminals from a redundant set of terminals. We propose the adaptivemutation based on terminal weighting mechanism for eliminating irrelevant terminals from the redundant terminal set. We show empirically that the proposed method is effective for find relevant terminals and improving performance of GP in the experiments on symbolic regression problems. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Genetic Programming / Feature Selection / Adaptive Mutation |
Paper # | AI2000-7 |
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Committee | AI |
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Conference Date | 2000/5/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Improving Performance of GP by Adaptive Terminal Selection |
Sub Title (in English) | |
Keyword(1) | Genetic Programming |
Keyword(2) | Feature Selection |
Keyword(3) | Adaptive Mutation |
1st Author's Name | OK Sooyol |
1st Author's Affiliation | Doctoral Program in Engineering University of Tsukuba() |
2nd Author's Name | Miyashita Kazuo |
2nd Author's Affiliation | Doctoral Program in Engineering University of Tsukuba |
3rd Author's Name | Nishihara Seiichi |
3rd Author's Affiliation | Doctoral Program in Engineering University of Tsukuba |
Date | 2000/5/18 |
Paper # | AI2000-7 |
Volume (vol) | vol.100 |
Number (no) | 88 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |