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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 8: Soft genetic operators in Evolutionary Algorithms
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