Figure data for the dissertation "Solving Large-Scale Dynamic Collaborative Vehicle Routing Problems - An Auction-Based Multi-Agent Approach"

doi:10.4121/16638262.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16638262
Datacite citation style:
Los, Johan (2021): Figure data for the dissertation "Solving Large-Scale Dynamic Collaborative Vehicle Routing Problems - An Auction-Based Multi-Agent Approach". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16638262.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This data set contains the coordinates of the plots in the thesis "Solving Large-Scale Dynamic Collaborative Vehicle Routing Problems - An Auction-Based Multi-Agent Approach" by Johan Los. It represents the results of various computational experiments in collaborative vehicle routing that were conducted to investigate to what extent an auction-based multi-agent system can be applied to solve dynamic large-scale collaborative vehicle routing problems. The data set indicates, among others, the value of information sharing, the profits that can be obtained by cooperation under different circumstances, and the individual profits that can be obtained when strategic bidding is applied.
history
  • 2021-10-05 first online, published, posted
publisher
4TU.ResearchData
format
.tex
funding
  • NWO: 14894
organizations
Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering, Department of Maritime and Transport Technology

DATA

files (1)