:Biologically-Inspired and Population-Based Approaches to Computer Intelligence
/ Dan Simon, Cleveland State University
Hoboken, NJ
: Wiley
, 2013.
xxx, 742 p
: ill.
Print
Bibliography
Index
"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"--Provided by publisher. "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"--Provided by publisher.