Evolutionary Optimization Algorithms: Biologically-Inspired and Population-Based Approaches to Computer Intelligence - Couverture rigide

Simon, Dan

 
9780470937419: Evolutionary Optimization Algorithms: Biologically-Inspired and Population-Based Approaches to Computer Intelligence

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"--

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À 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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