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This title in other editions

Evolutionary Algorithms (Natural Computing Series)

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Evolutionary Algorithms (Natural Computing Series) Cover

 

Synopses & Reviews

Publisher Comments:

Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms. Consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. The focus allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.

Synopsis:

Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms. Consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. The focus allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.

Table of Contents

Glossary.- Part I. Setting the Stage: Introduction.- Background.- Part II. Static Theoretical Analyses: A Survival Schema Theory for Recombination.- A Construction Schema Theory for Recombination.- Survival and Construction Schema Theory for Recombination.- A Survival Schema Theory for Mutation.- A Construction Schema Theory for Mutation.- Schema Theory: Mutation versus Recombination.- Other Static Characterizations of Mutation and Recombination.- Part III. Dynamic Theoretical Analyses: Dynamic Analyses of Mutation and Recombination.- A Dynamic Model of Selection and Mutation.- A Dynamic Model of Selection, Recombination and Mutation.- An Aggregation Algorithm for Markov Chains.- Part IV. Empirical Analyses: Empirical Validation.- Part V. Summary: Summary and Discussion.- Appendix: Formal Computations for the Aggregation Algorithm.- Bibliography.

Product Details

ISBN:
9783540669500
Author:
Spears, William M.
Author:
Spears, W. M.
Publisher:
Springer
Location:
Berlin, Heidelberg
Subject:
Evolution
Subject:
Programming - General
Subject:
Artificial Intelligence
Subject:
Computer algorithms
Subject:
Genetic algorithms
Subject:
Evolutionary programming (computer science)
Subject:
Mutation.
Subject:
Evolutionary programming
Subject:
Algorithmes
Subject:
Markov Chains
Subject:
Life Sciences - Evolution
Subject:
Artificial Intelligence - General
Subject:
Programmation âevolutive
Subject:
Evolutionary Algorithms
Subject:
recombination
Subject:
Intelligence (AI) & Semantics
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Algorithm Analysis and Problem Complexity
Subject:
Mathematics of Computing
Subject:
Computer Appl. in Life Sciences
Subject:
Combinatorics
Subject:
Combinatorics A thorough analysis of recombination and mutation in evolutionary algorithms<BR>New theoretical and modeling tools for studying evolutionary algorithms<BR>A new empirical tool for comparing search and optimization algorithms and a new theore
Subject:
Computers-Reference - General
Subject:
Computer Science
Subject:
B
Subject:
Computer software
Subject:
Biology_xData processing
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Natural Computing Series
Series Volume:
127
Publication Date:
20000726
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
236
Dimensions:
235 x 155 mm 1140 gr

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Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Software Engineering » Programming and Languages
Science and Mathematics » Biology » Evolution
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Science and Mathematics » Electricity » General Electronics

Evolutionary Algorithms (Natural Computing Series) New Hardcover
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$170.50 In Stock
Product details 236 pages Springer-Verlag - English 9783540669500 Reviews:
"Synopsis" by , Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms. Consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. The focus allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.
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