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 approximation.
- Extensive coverage of static simulation-based optimization techniques, including simulated annealing, LA, and simultaneous perturbation.
- Case studies with practical applications and downloadable codes .
Supplementary Material
