Presentation | 1999/5/28 Genetic Programming for Acquisition of Maximum Values of Non-Linear Discrete Function in Two-Dimensional Euclidean Space Akira Nomura, Takao Terano, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This article describes a method to acquire maximum values of non-linear discrete functions in a two-dimensional Euclidean space using genetic programming. Generally it is difficult to acquire maximum values of discrete function in two-dimensional nonmed space, while those of differentiable function can be easily acquired using the analytical method with derivatives. And also it is difficult to acquire maximum values when there are some obstacles in the search space. We propose an answer to solve the problems mentioned above with a modified technique of genetic programming which was developed in Lisp by John Koza et al. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | non-linear discrete function / Euclidean space / maximum value / genetic programming |
Paper # | AI99-20 |
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Committee | AI |
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Conference Date | 1999/5/28(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Genetic Programming for Acquisition of Maximum Values of Non-Linear Discrete Function in Two-Dimensional Euclidean Space |
Sub Title (in English) | |
Keyword(1) | non-linear discrete function |
Keyword(2) | Euclidean space |
Keyword(3) | maximum value |
Keyword(4) | genetic programming |
1st Author's Name | Akira Nomura |
1st Author's Affiliation | Asahigin Systems Co.,Ltd.() |
2nd Author's Name | Takao Terano |
2nd Author's Affiliation | University of Tsukuba, Tokyo |
Date | 1999/5/28 |
Paper # | AI99-20 |
Volume (vol) | vol.99 |
Number (no) | 96 |
Page | pp.pp.- |
#Pages | 8 |
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