Recent Advances in Memetic Algorithms
Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal u...
保存先:
| 第一著者: | |
|---|---|
| その他の著者: | , |
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2005. |
| シリーズ: | Studies in Fuzziness and Soft Computing
166 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Recent advances in memetic algorithms, William E. Hart, N. Krasnogor, J.E. Smith (eds.), 2005, Berlin, Springer, 1 vol. (x-408 p.), Studies in fuzziness and soft computing, 3-540-22904-3 • Recent Advances in Memetic Algorithms, Texte imprimé, 9783642061769 • Recent Advances in Memetic Algorithms, Texte imprimé, 9783540803454 |