Simulation optimization of complex systems with noisy parameter spaces can become computationally expensive on a single processor system. This book discusses construction of software for solving optimization problems by distributing the work load among several processors residing on a network. Open source repositories are used for the development of this software. The Simulated Annealing algorithm is used to search the parameter space for optimization. Application of the software to stochastic and deterministic problem scenarios is closely examined. Since the convergence of the simulated...