12月3日学术讲座预告丨杨浩翔：考虑企业中断因素的鲁棒性应急管理方法研究
服务科学与运营管理学系学术讲座
【主讲题目】
Distributionally Robust Optimization Under Stochastic Disruptions
【主讲人】杨浩翔，香港中文大学（深圳） 助理教授
讲座信息
时间：2021年12月3日（周五）14:00-16:00
参与方式：腾讯会议（ ID：125 318 244）
主持人：张政，浙江大学管理学院研究员
主讲人简介
Haoxiang Yang is an assistant professor in the School of Data Science at the Chinese University of Hong Kong, Shenzhen. His current research interests include optimization under uncertainty, large-scale optimization and decomposition methods, mixed integer programming, and nonlinear optimization, with applications focusing on energy systems, disaster relief and humanitarian aid, public health, air transportation, supply chain, and sports analytics. Prior to joining CUHK-Shenzhen in Summer 2021, Professor Yang was a Postdoctoral Research Associate of Los Alamos National Laboratory, working on nonlinear optimization under uncertainty models and algorithms for power system contingency analysis, quantum computing, and pandemic control.
讲座摘要
A stochastic disruption is a type of infrequent event in which the timing and the magnitude are random. We introduce the concept of stochastic disruptions, and a stochastic optimization framework is proposed for such problems. In this talk, we discuss two possibilities where we do not know the exact probabilistic distribution of the uncertainty under the stochastic disruption setting, one for the uncertainty magnitude and the other for the timing. We propose stochastic programming models for each case and solve them using cutting-plane methods. We present computational results of our approach applied to an optimal power flow problem with N-1 contingencies.
信息来源：浙大管院服务科学与运营管理学系
今日编辑/排版：段婷
欢迎关注浙江大学管理学院官方微信