SIMULATION-BASED OPTIMIZATION

Writing for those interested in solving complex, large-scale problems of optimization in random (stochastic) systems, Gosavi explains how computer simulations can be used to find parameters that maximize or minimize functions in static systems, as well as controls in systems of dynamic states. He provides step-by-step descriptions of simulation- based optimization algorithms and also discusses the methodology of neural networks.