Simulation Optimization and a Case Study
نویسندگان
چکیده
This chapter is a continuation of our chapters “Simulation Optimization Via Metamodeling Approach” and “Simulation Optimization For Finite Parameter Space” found elsewhere in this volume. In this chapter, we investigate gradientbased simulation optimization (GBSO) methods, including Perturbation Analysis (PA), Likelihood Ratio (LR), Finite Difference (FD), and Frequency Domain Analysis (FDA). We also provide discussion on several commercial software packages from the literature developed for simulation optimization (SO). Last, we present an OptQuest application for a real case study.
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