problems with a min-sum or min-max objective function. Our algorithms run in polynomial time if the optimization problem itself …

We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology … function is very expensive or time-consuming. Response Surface Methodology is frequently used for the optimization of … need to interfere in the optimization process. In our framework for automated optimization we describe all choices that …

the complete analysis of continuous optimization problems. Standard reasonable descents give a unified approach to all … central results outside optimization: the fundamental theorem of algebra, the maximum and the minimum principle of complex … function theorem. These optimization proofs compare favorably with the usual proofs and are all based on the same strategy …

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 …