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Autonomous Search

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Cover of 'Autonomous Search'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Autonomous Search
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    Chapter 2 Evolutionary Algorithm Parameters and Methods to Tune Them
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    Chapter 3 Automated Algorithm Configuration and Parameter Tuning
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    Chapter 4 Case-Based Reasoning for Autonomous Constraint Solving
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    Chapter 5 Learning a Mixture of Search Heuristics
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    Chapter 6 An Investigation of Reinforcement Learning for Reactive Search Optimization
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    Chapter 7 Adaptive Operator Selection and Management in Evolutionary Algorithms
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    Chapter 8 Parameter Adaptation in Ant Colony Optimization
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    Chapter 9 Continuous Search in Constraint Programming
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    Chapter 10 Control-Based Clause Sharing in Parallel SAT Solving
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    Chapter 11 Learning Feature-Based Heuristic Functions
Attention for Chapter 6: An Investigation of Reinforcement Learning for Reactive Search Optimization
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