Talks and Poster Presentations (without Proceedings-Entry):

T. Jatschka, T. Rodemann, G. Raidl:
"A Large Neighborhood Search for a Cooperative Optimization Approach to Distribute Service Points in Mobility Applications";
Talk: Honda Research Institute Europe, Offenbach, Germany, Honda Research Institute Europe, Offenbach, Germany (invited); 2021-09-08 - 2021-09-09.

English abstract:
COA is a cooperative optimization approach for optimizing locations of service points for mobility applications. A machine learning component processes the feedback obtained from the customers. The learned information is then used in an optimization component to generate an optimized solution. As optimization core a Large Neighborhood Search (LNS) is used. A particular challenge for developing the LNS is that a fast way for evaluating the non-trivial objective function for candidate solutions is needed. The LNS is evaluated on artificial instances as well as instances derived from real-world data.

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.