Simulation optimization studies the problem of optimizing simulation-based objectives. Simulation optimization is a new and hot topic in the field of system simulation and operational research. To improve the search efficiency, this paper presents a hybrid approach which combined genetic algorithm and local optimization technique for simulation optimization problems. Through the combination of ...

General modeling and optimization of syngas production via noncatalytic autothermal partial oxidation of methane are carried out using our developed scientific software which was based on the minimization of total Gibbs energy. In this work, a novel application of the direct search and Newton-Raphson methods was introduced to apply to optimization of a complex chemical reaction. Sensitivity ana...

injection molding is the most widely used process for producing plastic parts.in this process, an important issue is to predict and optimize the warpage before manufacturing. in this paper, a simulation with moldflow software is proposed to optimize the injection molding process. the optimization process aims at minimizing the warpage of the critical injection molding part in which process para...

Background and Objectives: Nowadays health services affect a significant part of social, economic and political parts of each country. In this case, hospitals are considered as the important and final stage of health service supply chain. Consequently, quality of health services offered by hospitals has a straight impact on the safety of individuals. Methods: </st...

The prevalent strategy in the topology optimization phase is to select a subset of members existing in an excessively connected truss, called Ground Structure, such that the overall weight or cost is minimized. Although finding a good topology significantly reduces the overall cost, excessive growth of the size of topology space combined with existence of varied types of design variables challe...

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). W...