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|a 9780470937419
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|b eng
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|d HR-ZaFER
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|a 006.3
|2 23
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| 100 |
1 |
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|a Simon, Dan,
|d 1960-
|9 41531
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| 245 |
1 |
0 |
|a Evolutionary optimization algorithms :
|b biologically-Inspired and population-based approaches to computer intelligence /
|c Dan Simon, Cleveland State University.
|
| 260 |
|
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|a New Jersey :
|b John Wiley & Sons, Inc.,
|c 2013.
|
| 300 |
|
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|a xxx, 742 str. :
|b ilustr. ;
|c 25 cm.
|
| 504 |
|
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|a Includes bibliographical references (pages 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"--
|
| 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"--
|
| 650 |
|
0 |
|a Evolutionary computation.
|9 41532
|
| 650 |
|
0 |
|a Computer algorithms.
|9 38106
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| 650 |
|
0 |
|a Biologically-inspired computing.
|9 41533
|
| 650 |
|
7 |
|a MATHEMATICS / Discrete Mathematics.
|2 bisacsh
|9 41534
|
| 942 |
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|2 udc
|c K
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