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Evolutionary optimization algorithms...

Simon, Dan.

Evolutionary optimization algorithms :biologically-Inspired and population-based approaches to computer intelligence /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Evolutionary optimization algorithms :Dan Simon.
Reminder of title:	biologically-Inspired and population-based approaches to computer intelligence /
Author:	Simon, Dan.
Published:	Hoboken, N.J. :John Wiley & Sons,c2013.
Description:	xxx, 742 p. :ill. ;25 cm.
Subject:	Evolutionary computation.
ISBN:	9780470937419 :

Evolutionary optimization algorithms :biologically-Inspired and population-based approaches to computer intelligence /
Simon, Dan.

Evolutionary optimization algorithms :biologically-Inspired and population-based approaches to computer intelligence /Dan Simon. - Hoboken, N.J. :John Wiley & Sons,c2013. - xxx, 742 p. :ill. ;25 cm.

Includes bibliographical references (p. 685-726) and 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.

ISBN: 9780470937419 :NT$3550Subjects--Topical Terms:

231709
Evolutionary computation.

Dewey Class. No.: 006.3 / S594

Evolutionary optimization algorithms :biologically-Inspired and population-based approaches to computer intelligence /
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100 1 $a Simon, Dan. $3 708927
245 1 0 $a Evolutionary optimization algorithms : $b biologically-Inspired and population-based approaches to computer intelligence / $c Dan Simon.
260 $a Hoboken, N.J. : $b John Wiley & Sons, $c c2013.
300 $a xxx, 742 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references (p. 685-726) and index.
520 $a "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.
520 $a "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.
650 0 $a Evolutionary computation. $3 231709
650 0 $a Computer algorithms. $3 184478
650 0 $a Biologically-inspired computing. $3 283996