Upcoming Lectures
Upcoming Lectures
Lecture 8 Online resource allocation with historical experience
考虑历史信息的在线资源分配
日期: 2021-12-25 点击：
Speaker Bio
Huili Zhang，Ph.D., Associate Professor of Xi’an Jiaotong University. She received her doctoral degree from Xi’an Jiaotong University in 2013. From 2013 to 2015, she did her postdoctoral training in Department of Computer Science, University of Alberta. Her research interests are mainly focused on optimization problems of sharing economics and logistics management, specifically the online algorithms and data-driven optimization algorithms. Her studies have been published in the top tier journals of operations research, such as European Journal of Operational Research, Computers& Operations Research, Computers& Industrial Engineering.
西安交通大学管理学院副教授，长期致力于物流管理和平台经济及相关策略设计研究，相关研究成果发表在国内外重要学术刊物上发表论文20余篇，主持国家自然科学基金面上项目、青年项目及中国博士后特别资助项目等项目共计5项，研究结果陕西省科学技术奖等奖励共计3项。
Abstract
Various logistics platforms are forming rapidly along with the booming mobile Internet. I will introduce the online car allocation problem and reformulate it as the online bipartite matching problem. We then explore the possibility of accommodating historical information to design efficient online algorithms to serve online orders. Both theoretical results and empirical results indicate positive influence of historical information on our problem. Two interesting extensions will also be introduced.
随着移动互联网的普及，网络约车等在线平台蓬勃发展。针对网络约车平台中的指派问题，结合有限的历史信息，设计多个在线订单指派算法并分析算法的理论性能和实验性能。在此基础上，将模型推广到货运平台及一般订单指派问题，并进行了相应的分析。
