combination of the following four proven techniques: (1) discrete-event simulation, (2) heuristic optimization, (3) risk or …Whereas Operations Research has always paid much attention to optimization, practitioners judge the robustness of the …

Abstract: This article surveys optimization of simulated systems. The simulation may be either deterministic or random …. The survey reflects the author’s extensive experience with simulation-optimization through Kriging (or Gaussian process …-free bootstrapping (or resampling) for random simulation. The survey covers: (1) Simulation-optimization through "efficient global …

combination of simulation inputs not yet simulated? (2) How to select the next combination to be simulated when searching for the … optimal combination? To answer these questions, the paper uses parametric bootstrapped Kriging and "conditional simulation …

discusses robust optimization of the decision variables, while accounting for uncertainties in the environmental variables. …

aim at the optimization of the simulated system, allowing multiple random simulation outputs. …This contribution presents an overview of sensitivity analysis of simulation models, including the estimation of … also reviews factor screening for simulation models with very many factors, focusing on the so-called "sequential …