| Presentation | 2002/7/19 Optimization for Black-Box Objective Functions by using Support Vector Machine Koji WASHINO, Hirotaka NAKAYAMA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Under this circumstance, it usually takes expensitive computation time to obtain the value of objective function by some analysis such as structural analysis, fluid mechanic analysis, and so on. In order to make the number of analyses as few as possible, we suggest a method by which optimization is performed in parallel with predicting the form of objective function. In this paper, support vector machine (SVM) is employed in predicting the form of objective function, and genetic algorithms (GA) in searching the optimal value of the predicted objective function. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Support Vector Machine / Regression / Optimization / Black-Box object function |
| Paper # | NC2002-30 |
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| Committee | NC |
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| Conference Date | 2002/7/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Optimization for Black-Box Objective Functions by using Support Vector Machine |
| Sub Title (in English) | |
| Keyword(1) | Support Vector Machine |
| Keyword(2) | Regression |
| Keyword(3) | Optimization |
| Keyword(4) | Black-Box object function |
| 1st Author's Name | Koji WASHINO |
| 1st Author's Affiliation | Graduate School of Natural Science, Konan University() |
| 2nd Author's Name | Hirotaka NAKAYAMA |
| 2nd Author's Affiliation | Faculty of Science and Engineering, Konan University |
| Date | 2002/7/19 |
| Paper # | NC2002-30 |
| Volume (vol) | vol.102 |
| Number (no) | 253 |
| Page | pp.pp.- |
| #Pages | 6 |
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