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== Limitations ==
Simulation based optimization has some limitations, such as the difficulty of creating a model that imitates the dynamic behavior of a system in a way that is considered good enough for its representation. Other problem is complexity in the determining uncontrollable parameters of both real-world system and simulation. Moreover, only a statistical estimation of real values can be obtained. It is not easy to determine the objective function, since it is a result of measurements, which can be harmful for the solutions.<ref>Prasetio, Y. (2005). ''Simulation-based optimization for complex stochastic systems''. University of Washington.</ref><ref>Deng, G., & Ferris, Michael. (2007). ''Simulation-based Optimization,'' ProQuest Dissertations and Theses</ref>
== Application ==
Simulation-based optimization is an important subject in various areas such as chemical engineering, civil engineering, and petroleum engineering. An important application is optimizing the locations of oil wells in hydrocarbon reservoirs.<ref>{{cite journal | doi = 10.2118/173219-PA | title = Closed-loop field development under uncertainty using optimization with sample validation | journal=SPE Journal|volume=20 |issue=5 |pages=0908–0922}}</ref>
[[File:Model example.jpg|thumb|Fig 2 Simulation-based optimization for building performance studies]]
The literature presents many uses of Simulation Based Optimization. Nguyen et al.,<ref>Nguyen, S., Reiter, P., Rigo, A., & Anh-Tuan Nguyen, S. (2014). A review on simulation-based optimization methods applied to building performance analysis.''Applied Energy,'' ''113'', 1043-1058.</ref> for example, discuss in their paper the use of simulation-based optimization for supporting the project of high performance buildings, such as green buildings. The figure 2 presents their method simplified.
Saif et al.<ref>Saif, A., Ravikumar Pandi, V., Zeineldin, H., & Kennedy, S. (2013). Optimal allocation of distributed energy resources through simulation-based optimization. ''Electric Power Systems Research,'' ''104'', 1-8.</ref> present another possible use of Simulation Based Optimization: allocate energy resources in an imperfect power distribution system, in an optimal way, considering ___location and capacity.
==References==
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