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View all- Deng GFerris M(2009)Variable-Number Sample-Path OptimizationMathematical Programming: Series A and B10.5555/3113600.3113770117:1-2(81-109)Online publication date: 1-Mar-2009
The sample-path method is one of the most important tools in simulation-based optimization. The basic idea of the method is to approximate the expected simulation output by the average of sample observations with a common random number sequence. In this ...
Sample-path optimization is a method for optimizing limit functions occurring in stochastic modeling problems, such as steady-state functions in discrete-event dynamic systems. It is closely related to retrospective optimization techniques and to M-...
In this paper we propose a method for optimizing convex performance functions in stochastic systems. These functions can include expected performance in static systems and steady-state performance in discrete-event dynamic systems; they may be ...
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