Screen LibraryEvolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence/
"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, thi...
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| Main Authors: | |
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| Published: |
John Wiley & Sons Inc.,
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| Publisher Address: | Hoboken, New Jersey : |
| Publication Dates: | [2013] |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| 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"-- |
| Carrier Form: | xxx, 742 pages : illustrations ; 25 cm |
| Bibliography: | Includes bibliographical references (pages 685-726) and index. |
| ISBN: |
9780470937419 (hardback) : 0470937416 (hardback) |
| Index Number: | QA76 |
| CLC: | TP301.6 |
| Call Number: | TP301.6/S594 |