Evolutionary computation : (Record no. 59365)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05441nam a2200925 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 5237910 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421114111.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151221s2006 njua ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780471749219 |
| -- | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 100 1# - AUTHOR NAME | |
| Author | Fogel, David B., |
| 245 10 - TITLE STATEMENT | |
| Title | Evolutionary computation : |
| Sub Title | toward a new philosophy of machine intelligence / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3rd ed. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (xvii, 274 pages) : |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press series on computational intelligence ; |
| 500 ## - GENERAL NOTE | |
| Remark 1 | "IEEE Neural Networks Council, sponsor." |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Defining artificial intelligence -- Natural evolution -- Computer simulation of natural evolution -- Theoretical and empirical properties of evolutionary computation -- Intelligent behavior -- Perspective. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well. This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5237910 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, New Jersey : |
| -- | John Wiley & Sons, |
| -- | c2006. |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2006] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Evolutionary computation. |
| 695 ## - | |
| -- | Adaptation model |
| 695 ## - | |
| -- | Algorithm design and analysis |
| 695 ## - | |
| -- | Artificial neural networks |
| 695 ## - | |
| -- | Biographies |
| 695 ## - | |
| -- | Biological system modeling |
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| -- | Calculators |
| 695 ## - | |
| -- | Central Processing Unit |
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| -- | Computational efficiency |
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| -- | Computational modeling |
| 695 ## - | |
| -- | Computer simulation |
| 695 ## - | |
| -- | Computers |
| 695 ## - | |
| -- | Convergence |
| 695 ## - | |
| -- | Correlation |
| 695 ## - | |
| -- | Encoding |
| 695 ## - | |
| -- | Evolution (biology) |
| 695 ## - | |
| -- | Evolutionary computation |
| 695 ## - | |
| -- | Feeds |
| 695 ## - | |
| -- | Games |
| 695 ## - | |
| -- | Genetics |
| 695 ## - | |
| -- | Humans |
| 695 ## - | |
| -- | Indexes |
| 695 ## - | |
| -- | Lead |
| 695 ## - | |
| -- | Learning systems |
| 695 ## - | |
| -- | Machine learning |
| 695 ## - | |
| -- | Markov processes |
| 695 ## - | |
| -- | Optimization |
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| -- | Organisms |
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| -- | Physics |
| 695 ## - | |
| -- | Problem-solving |
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| -- | Programming |
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| -- | Terminology |
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