应数学与统计学院的邀请，宁波诺丁汉大学计算机系副教授Ruibin Bai近日将为师生做以下学术报告：

        时间：2016年4月22日 下午2:30-3:30
        地点：理科楼407
        题目：Stochastic Service Network Design with Rerouting

        Abstract: Service network design under uncertainty is fundamentally crucial for all freight transportation companies. The main challenge is to strike a balance between two conflicting objectives: low network setup costs and low expected operational costs. Together these have a significant impact on the quality of freight services. Increasing redundancy at crucial network links is a common way to improve network flexibility. However, in a highly uncertain environment, a single predefined network is unlikely to suit all possible future scenarios, unless it is prohibitively costly. Hence, rescheduling is often an effective alternative. In this talk, we proposed a new stochastic freight service network design model with vehicle rerouting options. The proposed model explicitly introduces a set of integer variables for vehicle rerouting in the second stage of the stochastic program. Although  computationally more expensive, the resultant model provides more options (i.e.\ rerouting) and flexibility for planners to deal with uncertainties more effectively. The new model was tested on a set of instances adapted from the literature and its performance and characteristics are studied through both comparative studies and detailed analyses at the solution structure level. Implications for practical applications are discussed and further research directions are also provided.

        Short bio: Dr. Ruibin Bai obtains his PhD in Computer Science from the University of Nottingham UK 2005. He joined the University of Nottingham Ningbo China (UNNC) in 2007 after spending 2 years as a postdoctoral research fellow at UoN UK. He is now an associate professor in the School of Computer Science and an IEEE senior member. During his time at UNNC, he has been awarded 3 NSFC (National Natural Science Foundation of China) grants, 2 from Zhejiang Province and 3 from Ningbo Sci&Tech. Bureau) as principal investigator, with total fund of RMB 3.25m (approximately GBP33.8K). His current research interests include computational intelligence, machine learning, operations research, modelling, scheduling and optimisation with a special focus on transportation systems. He has published over 40 papers in learning international journals and conferences, including publications in the most influential journals in computational intelligence (e.g. IEEE Transactions on Evolutionary Computation, INFORMS Journal on Computing), Information Technology and Operations Research (e.g. Information Sciences, EJOR) and their applications in transportation (e.g. Transportation Research Part B). Two of conference papers won the best paper awards (ACM GEC 2009 & ICOSCM2015) and one was nominated for the best paper award finalist in IEEE SSCI 2013. He chairs the 2016 IEEE Computational Intelligence in Scheduling and Network Design (CISND 2016) International Conference and also serves as a member of Program Committee in several influential international conferences and is also a regular peer reviewer for several top journals (IEEE TEVC, IEEE TSMCA, TRB, ESWA, Information Sciences, Journal of Scheduling, etc.).

        欢迎感兴趣的师生参加！