| Presentation | 2000/5/18 The Optimization to Noisy Environments Using Genetic Programming YOSHIDA Kousuke, SAKAMOTO Yuji, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In practical application, systems suffer from various noises such as sensor noise and manipulation error. Therefore, it is very important to estimate effects of noise for applying genetic programming. In this paper, we carried out the experiments using a mobile robot due to the estimation. As the results, converged fitness values are decrease with the increase of noise. The values depend on the set of GP function parameters, but GP parameters. Moreover, the experimental results show that the individual are specialized to the noise level in which the individual are evolved. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Genetic Programming / Mobile Robot / Noise / Robust / Genetype |
| Paper # | AI2000-6 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2000/5/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | The Optimization to Noisy Environments Using Genetic Programming |
| Sub Title (in English) | |
| Keyword(1) | Genetic Programming |
| Keyword(2) | Mobile Robot |
| Keyword(3) | Noise |
| Keyword(4) | Robust |
| Keyword(5) | Genetype |
| 1st Author's Name | YOSHIDA Kousuke |
| 1st Author's Affiliation | Department of Electric and Electronics Engineering, Muroran Institute of Technology() |
| 2nd Author's Name | SAKAMOTO Yuji |
| 2nd Author's Affiliation | Department of Electric and Electronics Engineering, Muroran Institute of Technology |
| Date | 2000/5/18 |
| Paper # | AI2000-6 |
| Volume (vol) | vol.100 |
| Number (no) | 88 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |