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Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms - Studies in Computational Intelligence Chi-keong Goh 1st Ed. Softcover of Orig. Ed. 2009 edition
Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms - Studies in Computational Intelligence
Chi-keong Goh
The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. The book is intended for a wide readership.
282 pages, 36 black & white tables, biography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 28 octobre 2010 |
| ISBN13 | 9783642101137 |
| Éditeurs | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 282 |
| Dimensions | 156 × 234 × 15 mm · 399 g |
| Langue et grammaire | Anglais |
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