This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Num Pages: 772 pages, Illustrations. BIC Classification: PBD. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 44. Weight in Grams: 1236. . 2013. 1st Edition. Hardcover. . . . .

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D�tails bibliographiques

Titre: Evolutionary Optimization Algorithms
�diteur: John Wiley and Sons Ltd
Date de parution: 2013
Langue: anglais
ISBN � 10 chiffres: 0470937416
ISBN � 13 chiffres: 9780470937419
Reliure: Couverture rigide
�dition: Edition originale
�tat de l'article: New

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Synopsis

"This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization algorithms, this timely and practical book offers lengthy examples, a companion website, MATLAB code, and a Solutions Manual--making it perfect for advanced undergraduates, graduates, and practicing engineers involved in engineering and computer science"--

� propos de l?auteur

DAN SIMON is a Professor at Cleveland State University in the Department of Electrical and Computer Engineering. His teaching and research interests include control theory, computer intelligence, embedded systems, technical writing, and related subjects. He is the author of the book Optimal State Estimation (Wiley).

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