ECE Seminar Series: Maximizing Efficiency for Simulation-based or Sample-based Optimization

ECE title

ECE Seminar Series Fall 2016

Friday November 11th 3-4 PM, ITEB 336

Maximizing Efficiency for Simulation-based or Sample-based Optimization

Chun-Hung Chen

George Mason University

Abstract: Simulation and optimization are two popular engineering design tools. Optimization intends to choose the best element from some set of available alternatives. Stochastic simulation is a powerful modeling and software tool for analyzing modern complex systems that arise in manufacturing, power grids, transportation, healthcare, finance, defense, and many other fields. Detailed dynamics of complex, stochastic systems can be modeled in simulation. This capability complements the inherent limitation of traditional optimization, so the combining use of simulation and optimization is growing in popularity. This seminar discusses how we can integrate these two popular tools together and what computational issues we have to face in this integration. We will give an overview of some existing approaches, including gradient-based and model-based approaches. We will also present our developments based on a new technique called Optimal Computing Budget Allocation, initially developed by the speaker. Our goal is to maximize the efficiency of finding a good decision via optimal control of simulation replications and optimal sampling in design space.


Short Bio
: Chun-Hung Chen received his Ph.D. degree from Harvard University in 1994. He is currently a Professor at George Mason University. Dr. Chen was an Assistant Professor at the University of Pennsylvania before joining GMU. He was also affiliated with National Taiwan University (Electrical Eng. and Industrial Eng.) from 2008-14. Sponsored by NSF, NIH, DOE, NASA, FAA, Missile Defense Agency, and Air Force in US, he has worked on the development of very efficient methodology for simulation-based decision making and its applications. Dr. Chen received several awards such as “National Thousand Talents Award” from China and Eliahu I. Jury Award from Harvard University. He has served as a Department Editor for IIE Transactions, Department Editor for Asia-Pacific Journal of Operational Research, Associate Editor for IEEE Transactions on Automation Science and Engineering, Associate Editor for IEEE Transactions on Automatic Control, Area Editor for Journal of Simulation Modeling Practice and Theory, Advisory Editor for International Journal of Simulation and Process Modeling, and Advisory Editor for Journal of Traffic and Transportation Engineering. Dr. Chen is the author of two books, including a best seller: “Stochastic Simulation Optimization: An Optimal Computing Budget Allocation”. He is an IEEE Fellow.