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Introduction to Evolutionary Computing

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Cover of 'Introduction to Evolutionary Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Problems to Be Solved
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    Chapter 2 Evolutionary Computing: The Origins
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    Chapter 3 What Is an Evolutionary Algorithm?
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    Chapter 4 Representation, Mutation, and Recombination
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    Chapter 5 Fitness, Selection, and Population Management
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    Chapter 6 Popular Evolutionary Algorithm Variants
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    Chapter 7 Parameters and Parameter Tuning
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    Chapter 8 Parameter Control
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    Chapter 9 Working with Evolutionary Algorithms
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    Chapter 10 Hybridisation with Other Techniques: Memetic Algorithms
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    Chapter 11 Nonstationary and Noisy Function Optimisation
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    Chapter 12 Multiobjective Evolutionary Algorithms
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    Chapter 13 Constraint Handling
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    Chapter 14 Interactive Evolutionary Algorithms
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    Chapter 15 Coevolutionary Systems
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    Chapter 16 Theory
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    Chapter 17 Evolutionary Robotics
Attention for Chapter 11: Nonstationary and Noisy Function Optimisation
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