报告简介：

Although they are widely used as decision support toolsin power systems, transportation systems or security applications,bilevel mixed integer programs (BMIPs) have been known ascomputationally unsolved for a very long time. In this talk, we firstreview existing research on this topic and analyze the fundamentalchallenges. Then, we present a reformulation and decompositionstrategy, along with its theoretical properties, to handle  thecomplicated structure of BMIP.  Finally, numerical results onpractical and simulated instances, including those of nonlinear BMIPmodels, are provided to demonstrate the computational advantages overexisting methods.

主讲人简介：

Dr. Bo Zeng received the Ph.D. degree of Operations Research from the Department of Industrial Engineering at Purdue University, West Lafayette, IN, USA. He currently is an Assistant Professor with the Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA. His research interests include polyhedral study and algorithms for stochastic, robust and multilevel mixed integer programs, with applications in power, logistics and cyber-physical systems.