An edition of Evolutionary Algorithms (2000)

Evolutionary Algorithms

The Role of Mutation and Recombination

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December 25, 2021 | History
An edition of Evolutionary Algorithms (2000)

Evolutionary Algorithms

The Role of Mutation and Recombination

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

Despite decades of work in evolutionary algorithms, there remains a lot of uncertainty as to when it is beneficial or detrimental to use recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates prior theoretical work and introduces new theoretical techniques for studying evolutionary algorithms. An aggregation algorithm for Markov chains is introduced which is useful for studying not only evolutionary algorithms specifically, but also complex systems in general. Practical consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. A focus on discrete rather than real-valued representations allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.

Publish Date
Language
English
Pages
222

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Previews available in: English

Edition Availability
Cover of: Evolutionary Algorithms
Evolutionary Algorithms: The Role of Mutation and Recombination
2000, Springer Berlin Heidelberg
electronic resource : in English

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Book Details


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.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Berlin, Heidelberg
Series
Natural Computing Series, Natural Computing Series

Classifications

Dewey Decimal Class
006.3
Library of Congress
Q334-342, TJ210.2-211.495, QA75.5-76.95

The Physical Object

Format
[electronic resource] :
Pagination
1 online resource (xiv, 222 p.)
Number of pages
222

ID Numbers

Open Library
OL27037534M
Internet Archive
evolutionaryalgo00spea_740
ISBN 10
3642086241, 3662041995
ISBN 13
9783642086243, 9783662041994
OCLC/WorldCat
851390838

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December 25, 2021 Edited by ImportBot import existing book
June 30, 2019 Created by MARC Bot import new book