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科图分类法:
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TP301.6 版次： |
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中图分类法:
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TP301.6 版次： |
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著者:
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Simon, Dan, |
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题名:
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Evolutionary optimization algorithms : [ biologically-Inspired and population-based approaches to computer intelligence /] / , |
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出版发行:
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出版地： Hoboken, New Jersey : 出版社： John Wiley & Sons Inc., 出版日期： c2013. |
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载体形态:
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xxx, 742 p. : ill. ; 24 cm. |
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内容提要:
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"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. |
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内容提要:
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"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. |
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主题词:
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Evolutionary computation. |
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主题词:
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Computer algorithms. |
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主题词:
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Biologically-inspired computing. |
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索书号:
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1 |