/LC.GIF&client=easterncarolinaedu)
Evolutionary optimization algorithms biologically-Inspired and population-based approaches to computer intelligence / Dan Simon, Cleveland State University.
| Author/creator | Simon, Dan, 1960- |
| Format | Electronic |
| Publication Info | Hoboken, New Jersey : John Wiley & Sons Inc., [2013] |
| Description | xxx, 742 pages : illustrations ; 25 cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Abstract | "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. |
| Abstract | "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. |
| Bibliography note | Includes bibliographical references (pages 685-726) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2013000458 |
| ISBN | 9780470937419 (hardback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |