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Practical Genetic Algorithms (Second Edition) 🔍
Randy L. Haupt, Sue Ellen Haupt WILEY-INTERSCIENCE A JOHN WILEY & SONS，INC.，PUBLICATION, Wiley online library, 2nd ed, Place of publication not identified, 2004
英语 [en] · PDF · 2.6MB · 2004 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/upload/zlib · Save
描述
"The first introductory-level book to emphasize practical applications through the use of example problems." –– International Journal of General Systems, Vol. 31, No. 1, 2002, on the first edition The use of genetic algorithms (GAs) to solve large and often complex computational problems has given rise to many new applications in a variety of disciplines. Practical Genetic Algorithms was the first introductory-level book on genetic algorithms to emphasize practical applications rather than theory. Practical Genetic Algorithms, Second Edition reflects the significant evolution of the field since the book’s first edition. In an accessible style, the authors explain why the genetic algorithm is superior in many real-world applications, cover continuous parameter genetic algorithms, and provide in-depth trade-off analysis of genetic algorithm parameter selection. This Second Edition features: Numerous practical example problems A CD-ROM with MATLAB and High Performance Fortran codes A new, more complete picture of traditional optimization Revised examples reflecting recent research Coverage of pareto-genetic and hybrid genetic algorithms (GAs) New sections on hybrid GAs, parallel GAs, and messy GAs, with recommendations on improving their performance An all new chapter on simulated annealing, ant-colony optimization, evolutionary strategies, and other cutting-edge artificial intelligence methods of optimization Written for the practicing scientist, engineer, economist, artist, or anyone with an interest in the basics of GAs, the second edition continues to offer readers an up-to-date look at the evolving practical applications of GAs and how to manipulate them in order to get the best performance.
Booknews Per the glossary of this introductory text, a genetic algorithm (GA) is a type of computation that models the biological genetic process by including crossover and mutation operators. R. Haupt (electrical engineering, U. of Nevada, Reno) and S. Haupt (atmospheric and oceanic science, U. of Colorado, Boulder) explain GA parameters, applications, and trends in computer modeling of natural processes. Includes a list of symbols, and rather than divorcing over which computer language codes to provide pseudocodes for customizing GAs. Annotation c. by Book News, Inc., Portland, Or.
备用文件名
nexusstc/Practical Genetic Algorithms/d83987506952829d10e2cba393b8621e.pdf
备用文件名
lgli/John Wiley & Sons - Practical Genetic Algorithms 2Nd Edition - 2004 (Isbn 0471455652)(261S)(Haupt R L , Haupt S E).pdf
备用文件名
lgrsnf/John Wiley & Sons - Practical Genetic Algorithms 2Nd Edition - 2004 (Isbn 0471455652)(261S)(Haupt R L , Haupt S E).pdf
备用文件名
zlib/Computers/Programming/Randy L. Haupt, Sue Ellen Haupt/Practical Genetic Algorithms_655214.pdf
备选标题
Teach like a champion 2.0 62 techniques that put students on the path to college
备选标题
Practical ECG Interpretation Clues to Heart Disease in Young Adults
备选作者
QuarkXPressa: LaserWriter 8 Z2-8.7
备选作者
RANDY L.HAUPT AND SUE ELLEN HAUPT
备选作者
Haupt, Randy L., Haupt, Sue Ellen
备选作者
Doug Lemov; Norman Atkins
备用出版商
John Wiley And Sons Inc; 2nd edition (January 12, 2015)
备用出版商
Jossey-Bass, Incorporated Publishers
备用出版商
Wiley & Sons, Incorporated, John
备用出版商
John Wiley & Sons, Incorporated
备用出版商
WILEY COMPUTING Publisher
备用出版商
publisher not identified
备用出版商
Kohlhammer, W., GmbH
备用版本
John Wiley & Sons, Inc., Hoboken, N.J., 2004
备用版本
2nd ed., Hoboken, N.J, New York State, 2004
备用版本
United States, United States of America
备用版本
2., Auflage, New York, NY, 2004
备用版本
2nd ed, Hoboken, N.J, c2004
备用版本
Germany, Germany
备用版本
2, 2004-07-30
备用版本
May 31, 2004
备用版本
PT, 2022
备用版本
1, 2003
元数据中的注释
0
元数据中的注释
lg227657
元数据中的注释
producers:
Acrobat Distiller 4.05 for Macintosh
元数据中的注释
{"edition":"1","isbns":["0471455652","0471671746","0471671754","3175723993","9780471455653","9780471671749","9780471671756","9783175723998","9786468600","9789786468600"],"last_page":261,"publisher":"Wiley"}
元数据中的注释
"A Wiley-Interscience publication."
Includes bibliographical references and index.
1
备用描述
Practical Genetic Algorithms is the first introductory-level book to emphasize practical applications through the use of example problems.
In an accessible style, the authors explain why the genetic algorithm is superior in many real-world applications, cover continuous parameter genetic algorithms, and provide in-depth trade-off analysis of genetic algorithm parameter selection.
Written for the end user in engineering, science, and computer programming, as well as upper-level undergraduate and graduate students, Practical Genetic Algorithms provides numerous practical example problems; contains over 80 illustrations; features many figures and tables; and includes three appendices: a glossary of terms, a list of genetic algorithm routines in pseudocode, and a list of symbols used in the book.
备用描述
Randy Haupt and Sue Ellen Haupt, both affiliated with The Pennsylvania State University Applied Research Laboratory, emphasize practical applications rather than theory in this second edition of a book/CD- ROM guide for practicing scientists, engineers, economists, artists, and others interested in the basics of genetic algorithms (GAs). This edition contains code, in both MATLAB and High-Performance Fortran, on the CD-ROM, plus expanded information on methods for improving GA performance, and a new chapter on other artificial intelligence methods of optimization such as simulated annealing and ant colony optimization. Chapter exercises allow the book to be used as a text. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com)
备用描述
Based on the literature I have explored, I can unequivocally say that this is the best book that I have found on GA theory and programming. In a simple but effective manner, the book explains the intricate concepts. For any one thinking of learning GA theory this is a good starting point. Also, if you want to write programs to create your own genetic algorithms, this is a must-read.In my humble opinion, this is 'THE BEST' book particularly for those without much GA experience.I hereby express my heartfelt gratitude to the authors and congratulate them on their effort.
备用描述
Teach Like a Champion 2.0 is a complete update to the international bestseller. This teaching guide is a must-have for new and experienced teachers alike. Over 700,000 teachers around the world already know how the techniques in this book turn educators into classroom champions. With ideas for everything from classroom management to inspiring student engagement, you will be able to perfect your teaching practice right away.
备用描述
<p>* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science<br> * Most significant update to the second edition is the MATLAB codes that accompany the text<br> * Provides a thorough discussion of hybrid genetic algorithms<br> * Features more examples than first edition<br></p>
备用描述
Deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science. This book includes the MATLAB codes and provides a discussion of hybrid genetic algorithms, as well as more examples. It also gives an introduction to the subject of genetic algorithms.
开源日期
2010-02-18
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