Evolutionary optimization algorithms [electronic resource] : biologically-Inspired and population-based approaches to computer intelligence/ Dan Simon, Cleveland State University

Author:: Simon, Dan, 1960-
Published:: Hoboken, New Jersey : John Wiley & Sons Inc., [2013]
Physical Description:: xxx, 742 pages : illustrations ; 25 cm

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Summary:

"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"--
"Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear (but theoretically rigorous) understanding of Evolutionary Algorithms, with an emphasis on implementation rather than models"--

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Electronic books

ISBN:

9780470937419 (hardback)

Bibliography Note:

Includes bibliographical references (pages 685-726) and index.

View MARC record | catkey: 19563944