Handbook of Simulation Optimization

The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology.  Leading contr...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Fu, Michael C. (Editor)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2015.
Series:International Series in Operations Research & Management Science, 216
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Overview of the Handbook
  • Discrete Optimization via Simulation
  • Ranking and Selection: Efficient Simulation Budget Allocation
  • Response Surface Methodology
  • Stochastic Gradient Estimation
  • An Overview of Stochastic Approximation
  • Stochastic Approximation Methods and Their Finite-time Convergence Properties
  • A Guide to Sample Average Approximation
  • Stochastic Constraints and Variance Reduction Techniques
  • A Review of Random Search Methods
  • Stochastic Adaptive Search Methods: Theory and Implementation
  • Model-Based Stochastic Search Methods
  • Solving Markov Decision Processes via Simulation.