The reviewed book gives an unified mathematical representation of evolutionary algorithms. The book can be useful to researches in the theory of evolutionary algorithms.

Zeischrift fur Mathematik

This book compares the three most prominent representatives of evolutionary algorithms - genetic algorithms, evolution strategies, and evolutionary programming - computational methods at the border between computer science and evolutionary biology. The algorithms are explained within a common formal framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms and uses a meta-evolutionary approach to confirm some of the theoretical results.
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Compares three prominent representatives of evolutionary algorithms - genetic algorithms, evolution strategies and evolutionary programming - computational methods at the border between computer science and evolutionary biology. The algorithms are explained within a common framework, thereby clarifying the similarities and differences.
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PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS; PART II: EXTENDING GENETIC ALGORITHMS
"The book as a whole is well written, easy to read, and it will be valuable to readers interested in practical and computational issues in solving general optimization problems."--Mathematical Reviews "The book as a whole is well written, easy to read, and it will be valuable to readers interested in practical and computational issues in solving general optimization problems."--Mathematical Reviews
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Compares genetic algorithms, evolution strategies, and evolutionary programming--the three major representatives of an exciting new computational paradigm Gives detailed descriptions of algorithms, with practical guidelines for their use and implementation Provides new results regarding mutation, selection, and binary codes in genetic algorithms
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Compares genetic algorithms, evolution strategies, and evolutionary programming--the three major representatives of an exciting new computational paradigm Gives detailed descriptions of algorithms, with practical guidelines for their use and implementation Provides new results regarding mutation, selection, and binary codes in genetic algorithms
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Produktdetaljer

ISBN
9780195099713
Publisert
1996
Utgiver
Vendor
Oxford University Press Inc
Vekt
601 gr
Høyde
163 mm
Bredde
243 mm
Dybde
23 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
328

Forfatter