Simulation-Based Optimization: Second Edition

Key Features

• Detailed insights into Bellman equations and Markov & Semi-Markov Decision Processes: Table of Contents
• Comprehensive exploration of Q-Learning, SARSA, actor-critics, R-SMART, and neural network-based function approximations.
• Extensive coverage of static simulation-based optimization techniques, including backtracking adaptive search, LA, and simultaneous perturbation.
• Case studies with practical applications and downloadable codes .
Supplementary Material