A heuristic algorithm for multi-agent vehicle routing with automated negotiation

Dave de Jonge, Filippo Bistaffa, Jordi Levy

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

10 Citations (Scopus)

Abstract

We investigate a problem that lies at the intersection of three research areas, namely Automated Negotiation, Vehicle Routing, and Multi-Objective Optimization. Specifically, we investigate the scenario that multiple competing logistics companies aim to cooperate by delivering truck loads for one another, in order to improve efficiency and reduce the distance they drive. In order to do so, these companies need to find ways to exchange their truck loads such that each of them individually benefits. We present a new heuristic algorithm that, given one set of orders to deliver for each company, tries to find the set of all order-exchanges that are Pareto-optimal and individually rational. Furthermore, we present experiments based on real-world test data from two major logistics companies, which show that our algorithm is able to find hundreds of solutions in a matter of minutes.
Original languageEnglish
Title of host publicationAAMAS '21: Proceedings of the 20th International Joint Conference on Autonomous Agents and Multiagent Systems, May 3-7, 2021, Virtual Event, UK
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages404-412
Number of pages9
ISBN (Print)9781713832621
DOIs
Publication statusPublished - 2021
EventInternational Conference on Autonomous Agents and Multiagent Systems -
Duration: 9 May 2022 → …

Publication series

Name
ISSN (Print)1548-8403

Conference

ConferenceInternational Conference on Autonomous Agents and Multiagent Systems
Period9/05/22 → …

Fingerprint

Dive into the research topics of 'A heuristic algorithm for multi-agent vehicle routing with automated negotiation'. Together they form a unique fingerprint.

Cite this