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Evolution and Biocomputation

Overview of attention for book
Cover of 'Evolution and Biocomputation'

Table of Contents

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    Book Overview
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    Chapter 1 Editors' introduction
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    Chapter 2 Aspects of optimality behavior in population genetics theory
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    Chapter 3 Optimization as a technique for studying population genetics equations
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    Chapter 4 Emergence of mutualism
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    Chapter 5 Three illustrations of artificial life's working hypothesis
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    Chapter 6 Self-organizing algorithms derived from RNA interactions
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    Chapter 7 Modeling the connection between development and evolution: Preliminary report
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    Chapter 8 Soft genetic operators in Evolutionary Algorithms
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    Chapter 9 Analysis of selection, mutation and recombination in genetic algorithms
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    Chapter 10 The role of mate choice in biocomputation: Sexual selection as a process of search, optimization, and diversification
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    Chapter 11 Genome growth and the evolution of the genotype-phenotype map
Attention for Chapter 2: Aspects of optimality behavior in population genetics theory
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Citations

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Chapter title
Aspects of optimality behavior in population genetics theory
Chapter number 2
Book title
Evolution and Biocomputation
Published by
Springer, Berlin, Heidelberg, January 1995
DOI 10.1007/3-540-59046-3_2
Book ISBNs
978-3-54-059046-0, 978-3-54-049176-7
Authors

W. J. Ewens, Alan Hastings, Ewens, W. J., Hastings, Alan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%

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