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Frontiers of Evolutionary Computation

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Cover of 'Frontiers of Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Towards A Theory of Organisms and Evolving Automata
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    Chapter 2 Two Grand Challenges for EC
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    Chapter 3 Evolutionary Computation: Challenges and Duties
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    Chapter 4 Open Problems in the Spectral Analysis of Evolutionary Dynamics
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    Chapter 5 Solving Combinatorial Optimization Problems Via Reformulation and Adaptive Memory Metaheuristics
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    Chapter 6 Problems in Optimization
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    Chapter 7 EC Theory — “in Theory”
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    Chapter 8 Asymptotic Convergence of Scaled Genetic Algorithms to Global Optima
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    Chapter 9 The Challenge of Producing Human-Competitive Results by Means of Genetic and Evolutionary Computation
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    Chapter 10 Case Based Reasoning
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    Chapter 11 The Challenge of Complexity
Attention for Chapter 8: Asymptotic Convergence of Scaled Genetic Algorithms to Global Optima
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