Multi-Objective Memetic Algorithms
The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories,...
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| Autor principal: | |
|---|---|
| Outros Autores: | , , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2009. |
| Colecção: | Studies in Computational Intelligence
171 |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multi-objective memetic algorithms, Chi-Keong Goh, Yew-Soon Ong, Kay Chen Tan, Berlin, Springer, 2009, 1 vol. (XII-402 p.), Studies in computational intelligence, 978-3-540-88050-9 |