| 作成者 |
|
|
|
| 本文言語 |
|
| 出版者 |
|
|
|
| 発行日 |
|
| 収録物名 |
|
| 開始ページ |
|
| 終了ページ |
|
| 出版タイプ |
|
| アクセス権 |
|
| 関連DOI |
|
|
|
|
|
| 関連URI |
|
|
|
|
|
| 関連情報 |
|
|
|
|
|
| 概要 |
We propose a niching method for solving multi-modal optimization problems from their frequency information and evaluate its performance with six multi-modal benchmark functions. We use Fourier transfo...rm as the main analysis tool to obtain the frequency information and estimate the potential modal locations of the fitness landscape using the obtained frequency and phase information. We choose the estimated potential modal locations as elite points, directly put them into the population, and find more peaks within local search areas restricted by given search radiuses. Experimental evaluation results show that our proposed Fourier niching method has the better performance, especially from the computational cost point of view.続きを見る
|
Mendeley出力
