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|Title:||Stochastic systems simulation optimization|
|Keywords:||computing budget allocation|
ranking and selection
simulation-based decision making
|Citation:||Chen, C.-H.,Shi, L.,Lee, L.H. (2011-09). Stochastic systems simulation optimization. Frontiers of Electrical and Electronic Engineering in China 6 (3) : 468-480. ScholarBank@NUS Repository. https://doi.org/10.1007/s11460-011-0168-5|
|Abstract:||With the advance of new computational technology, stochastic systems simulation and optimization has become increasingly a popular subject in both academic research and industrial applications. This paper presents some of recent developments about the problem of optimizing a performance function from a simulation model. We begin by classifying different types of problems and then provide an overview of the major approaches, followed by a more in-depth presentation of two specific areas: optimal computing budget allocation and the nested partitions method. © 2011 Higher Education Press and Springer-Verlag Berlin Heidelberg.|
|Source Title:||Frontiers of Electrical and Electronic Engineering in China|
|Appears in Collections:||Staff Publications|
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