The research paper “Ranking paths in stochastic time-dependent networks” have been accepted for publication in European Journal of Operational Research. In this paper we address optimal routing problems in networks where travel times are both stochastic and time-dependent. In these networks, the best route choice is not necessarily a path, but rather a time-adaptive strategy that assigns successors to nodes as a function of time. Nevertheless, in some particular cases an origin-destination path must be chosen a priori, since time-adaptive choices are not allowed. Unfortunately, finding the a priori shortest path is an NP-hard problem. We propose a solution method for the a priori shortest path problem, and we show that it can be easily extended to the ranking of the first K shortest paths. Our method exploits the solution of the time-adaptive routing problem as a relaxation of the a priori problem. Computational results are presented showing that, under […]
From 17-22 June 2013 I have been participating in MCDM 2013 in Malaga. The 22nd International Conference on Multiple Criteria Decision Making. The conference was held in a nice atmosphere and the city can be recommended. I coauthored a talk about the Bicriterion Stochastic Knapsack Problem which is a problem we currently are working on.
During the past months I have been participating in a course about supervision. The course, which runs over several days, covers master, PhD and fellow supervision and use results from research, practice and experiences from the participants. It aims at strengthen the participants’ overall supervisory skills in the form of clear and specific criteria-based guidance better feedback when commenting on text from the student establishment and maintenance of a mutually binding supervision agreement initial, ongoing and final project evaluation and feedback using meta-communication of supervision content and processes The course included video-filming ourselves in doing supervision which was a good way of seeing how one actually perform. The course can be recommended to all university staff doing supervision.