DESA differential evolution-simulated annealing for fitting linear combinations of Gaussains to data
Abstract (The method of Differential Evolution (DE) is applied to the problem of fitting linear combinations of Gaussians to data. The DE method offers advantages over competing methods such as the Simulated Annealing (SA) algorithm. Firstly, the DE does not require an auxiliary special method to ob...
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| フォーマット: | 学位論文 |
| 言語: | English |
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2004.
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