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Theory of Evolutionary Computation

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Cover of 'Theory of Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Probabilistic Tools for the Analysis of Randomized Optimization Heuristics
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    Chapter 2 Drift Analysis
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    Chapter 3 Complexity Theory for Discrete Black-Box Optimization Heuristics
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    Chapter 4 Parameterized Complexity Analysis of Randomized Search Heuristics
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    Chapter 5 Analysing Stochastic Search Heuristics Operating on a Fixed Budget
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    Chapter 6 Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices
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    Chapter 7 Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments
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    Chapter 8 The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses
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    Chapter 9 Theory of Estimation-of-Distribution Algorithms
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    Chapter 10 Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization
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    Chapter 11 Computational Complexity Analysis of Genetic Programming
Attention for Chapter 9: Theory of Estimation-of-Distribution Algorithms
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