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Multi-objective Optimization in Computational Intelligence: Theory and Practice (Premier Reference Source) Lam Thu Bui 1er édition
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Multi-objective Optimization in Computational Intelligence: Theory and Practice (Premier Reference Source)
Lam Thu Bui
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications.
Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 31 mai 2008 |
| ISBN13 | 9781599044989 |
| Éditeurs | IGI Global |
| Pages | 496 |
| Dimensions | 218 × 284 × 36 mm · 1,70 kg |
| Langue et grammaire | Anglais |
| Contributeur | Lam Thu Bui |
| Contributeur | Sameer Alam |
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