Presentation | 1999/3/18 A Proposal of an Improved Function Synthesis Algorithm with Genetic Programming TETSUYA SEKIOKA, NOBUO FUNABIKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The function synthesis problem for an unknown system requires to produce an approximate function which satisfies the relationships of given input and output data sets of the system. This problem is essential for the proper control of the system. When the system has the non-linearity characteristics, this problem becomes very difficult where the number of combinations of variables, constants, and operators quickly increases the computational complexity. This paper presents three improved methods for the genetic programming algorithm which is one of the function synthesis methods. They are the gradual expansion of function trees, the constant optimization by a local search, and the partial structure fixation of function trees based on the characteristics of the target system. The performance evaluation through the two-spirals problem and the sunspot prediction problem shows the effectiveness of the proposed three methods. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Function synthesis / Genetic Programming / two-spirals / sunspots |
Paper # | NLP98-123 |
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Committee | NLP |
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Conference Date | 1999/3/18(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) | A Proposal of an Improved Function Synthesis Algorithm with Genetic Programming |
Sub Title (in English) | |
Keyword(1) | Function synthesis |
Keyword(2) | Genetic Programming |
Keyword(3) | two-spirals |
Keyword(4) | sunspots |
1st Author's Name | TETSUYA SEKIOKA |
1st Author's Affiliation | Department of Informatics and Mathematical Science, Graduate School of Engineering Science, Osaka University() |
2nd Author's Name | NOBUO FUNABIKI |
2nd Author's Affiliation | Department of Informatics and Mathematical Science, Graduate School of Engineering Science, Osaka University |
Date | 1999/3/18 |
Paper # | NLP98-123 |
Volume (vol) | vol.98 |
Number (no) | 663 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |