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Simulation-Based Optimization

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Cover of 'Simulation-Based Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Background
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    Chapter 2 Notation
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    Chapter 3 Probability Theory: A Refresher
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    Chapter 4 Basic Concepts Underlying Simulation
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    Chapter 5 Simulation-Based Optimization: An Overview
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    Chapter 6 Parametric Optimization: Response Surfaces Neural Networks
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    Chapter 7 Parametric Optimization: Simultaneous Perturbation & Meta-Heuristics
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    Chapter 8 Control Optimization with Stochastic Dynamic Programming
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    Chapter 9 Control Optimization with Reinforcement Learning
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    Chapter 10 Control Optimization with Learning Automata
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    Chapter 11 Convergence: Background Material
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    Chapter 12 Convergence Analysis of Parametric Optimization Methods
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    Chapter 13 Convergence Analysis of Control Optimization Methods
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    Chapter 14 Case Studies
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    Chapter 15 Codes
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    Chapter 16 Concluding Remarks
Attention for Chapter 9: Control Optimization with Reinforcement Learning
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