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AuthorAl-Salem, Mohammed
AuthorAlmomani, Mohammad
AuthorAlrefaei, Mahmoud
AuthorDiabatd, Ali
Available date2021-02-08T09:14:54Z
Publication Date2017
Publication NameSimulation Modelling Practice and Theory
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.simpat.2016.05.004
URIhttp://hdl.handle.net/10576/17618
AbstractSelecting a set that contains the best simulated systems is an important area of research. When the number of alternative systems is large, then it becomes impossible to simulate all alternatives, so one needs to relax the problem in order to find a good enough simulated system rather than simulating each alternative. One way for solving this problem is to use two-stage sequential procedure. In the first stage the ordinal optimization is used to select a subset that overlaps with the actual best systems with high probability. Then in the second stage an optimization procedure can be applied on the smaller set to select the best alternatives in it. In this paper, we consider the optimal computing budget allocation (OCBA) in the second stage that distribute available computational budget on the alternative systems in order to get a correct selection with high probability. We also discuss the effect of the simulation parameters on the performance of the procedure by implementing the procedure on three different examples. The numerical results indeed indicate that the choice of these parameters affect its performance.
Languageen
PublisherElsevier B.V.
SubjectLarge scale problems
Optimal computing budget allocation
Ordinal optimization
Simulation optimization
TitleOn the optimal computing budget allocation problem for large scale simulation optimization
TypeArticle
Pagination149-159
Volume Number71
dc.accessType Abstract Only


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