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

Department of Mathematical Sciences
George Mason University
4400 University Drive, MS 3F2
Fairfax, VA 22030-4444
http://math.gmu.edu/
Tel. 703-993-1460, Fax. 703-993-1491