In a previous paper, we have introduced a simulation and optimization framework for the integration of renewable … and grid power supply are incorporated. A Monte Carlo simulation–optimal power flow (MCS–OPF) computational model is used …

transition probabilities. Our approach is based on an optimization model. More specifically we consider two competing objectives …

can be estimated by optimization of the goodness-of-fit. We compared the efficiency and accuracy of the Response Surface … Methodology and the Nelder and Mead Simplex Method for optimization of microsimulation models. To this end, we tested several … respect to accuracy, Response Surface Methodology performed better in case of optimization of the microsimulation model …

simulation method is developed to evaluate the cost of the CBM policy. A numerical example is provided to illustrate the proposed …

considered, including perfect, imperfect and two-level action. Simulation methods are developed to evaluate the costs of proposed …

This study investigates production lines consolidation in a configure-to-order production environment using simulation … and optimization strategies. The current production environment has three separate production lines that will be … of machines, and requires higher grades of operators’ skills. A simulation-based comparison of the current and future …

We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology …. The framework is especially intended for simulation models where the calculation of the corresponding stochastic response … function is very expensive or time-consuming. Response Surface Methodology is frequently used for the optimization of …