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Applied and Computational Math Seminar: Efficient Stochastic Simulation Optimization Algorithms and Their Applications

Speaker: Jie Xu, GMU
Title: Efficient Stochastic Simulation Optimization Algorithms and Their Applications

Abstract: Stochastic simulation optimization provides a powerful and general tool to optimize the design of complex stochastic systems. However, major difficulties arise when the simulation is time-consuming and the stochastic noise is significant. In this talk, we discuss several efforts that aim to improve the computational efficiency of stochastic simulation optimization algorithms for two large-scale applications. We present an application in air traffic management and an application in power grids weather resilience to demonstrate the broader impact of scalable stochastic simulation optimization. 

Time: Friday, October 19, 2018, 1:30-2:30pm

Place: Exploratory Hall, Room 4106

 

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