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Foundations of Genetic Algorithms 1999 (FOGA 5) [Hardcover]

Wolfgang Banzhaf (Editor), Colin Reeves (Editor)

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Book Description

Series: Foundations of Genetic Algorithms | Publication Date: April 16, 1999

Foundations of Genetic Algorithms, Volume 5 is the fifth in the series of books recording the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organized by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. This volume's papers deal with GA dynamics; genetic operators (mostly in their relationship to schemata); characterization of landscapes over which an algorithm is searching; and the interaction between different parameters or strategies used for controlling the course of genetic search.

* * Includes research from academia, government laboratories, and industry
* * Contains longer-than-typical conference papers that have been subjectd to two rounds of reviews
* * Continues the tradition of presenting not only current theoreti cal work, but also issues that could shape future research in the field

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } Foundations of Genetic Algorithms, Volume 5 is the fifth in the series of books recording the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organized by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. This volume's papers deal with GA dynamics; genetic operators (mostly in their relationship to schemata); characterization of landscapes over which an algorithm is searching; and the interaction between different parameters or strategies used for controlling the course of genetic search.

* * Includes research from academia, government laboratories, and industry
* * Contains longer-than-typical conference papers that have been subjectd to two rounds of reviews
* * Continues the tradition of presenting not only current theoreti cal work, but also issues that could shape future research in the field

Editorial Reviews

About the Author

Edited by Wolfgang Banzhaf and Colin Reeves

Product Details

Hardcover: 320 pages
Publisher: Morgan Kaufmann; 1 edition (April 16, 1999)
Language: English
ISBN-10: 1558605592
ISBN-13: 978-1558605596
Product Dimensions: 9.1 x 7.1 x 1 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #5,449,939 in Books (See Top 100 in Books)

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Inside This Book (learn more)

First Sentence:
This paper investigates the dynamics of evolutionary algorithms (EAs) without fitness based selection (constant fitness). Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
expected population variance, niching success, juxtapositional complexity, juxtapositional characteristics, permutation recombination operators, peak distribution characteristics, new schema theorem, niching equilibrium, test function generators, unrestricted search spaces, crossover framework, schema destruction, common schemata, kill tournament, expected convergence time, onemax problem, single peak landscape, reproductive operators, long path problems, niche maintenance, large schemata, niche pairs, incest prevention, landscape expansion, critical mutation rate

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Morgan Kaufmann, San Mateo, Artificial Intelligence, University of Michigan, Royal Road, Ann Arbor, San Francisco, Artificial Life, Darrell Whitley, New York, Springer Verlag, University of Illinois, Oxford University Press, Ecole Polytechnique, Evolutionary Computing, First Cumulant, Fourth Cumulant, John Wiley, Larry Eshelman, Addison Wesley, David Schaffer, Dissertation Abstracts International, Order Figure

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Books on Related Topics | Concordance | Text Stats

Citations (learn more)

This book cites 24 books:

Evolutionary Computation by Kenneth A. de De Jong on 5 pages
Artificial Intelligence by A. E. Nisenfedl on 4 pages
Genetic Algorithms in Search, Optimization, and Machine Learning by David E. Goldberg on 4 pages
Genetic Algorithms and Simulated Annealing by Lawrence Davis on page 100, page 115, and page 132
Handbook Of Genetic Algorithms by Lawrence David Davis on page 115, and page 145

See all 24 books this book cites

Books on Related Topics (learn more)

Foundations of Genetic Algorithms 1997 by Richard Belew

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Parallel Problem Solving from Nature - PPSN V by Agoston E. Eiben

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Proceedings of the Genetic and Evolutionary Computation Conference by Author Unknown

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