Dan Simon <br/><br/>
Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence 

 - 1st 
<br/><br/> "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"--<br/>Summary: "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"-- 
<br/><br/><label>ISBN: </label>9780470937419 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Evolutionary computation<br/>Computer algorithms;<br/> Biologically-inspired computing<br/>MATHEMATICS / Discrete Mathematics. 
<br/><br/><label>Dewey Class. No.: </label>006.3