Neuroevolution of a multi-agent system for the dynamic pickup and delivery problem

Code and datasets accompanying the following paper. Jonathan Merlevede, Rinde van Lon and Tom Holvoet, “Neuroevolution of a Multi-Agent System for the Dynamic Pickup and Delivery Problem”. In: International Joint Workshop on Optimisation in Multi-Agent Systems and Distributed Constraint Reasoning (co-located with AAMAS), Paris, France – May 2014. * Merlevede-code.zip contains the source code of all software components used in the paper (including the scenario generator). Look at README.md in the zip file for more information.<br>* Merlevede-evolutionary_runs.zip contains all data on the evolutionary runs reported on the paper.<br>* Merlevede-Genderau-data.zip contains the scenario data of Gendreau et al. [1].<br>* Merlevede-generated_scenarios.zip contains the scenarios we used in the paper. These scenarios were generated by our.generator (using Octave). [1] Gendreau, M., Guertin, F., Potvin, J.Y., Séguin, R.: Neighborhood Search Heuristics for a Dynamic Vehicle Dispatching Problem with Pick-ups and Deliveries. Transportation Research Part C: Emerging Technologies 14(3), 157–174 (Jun 2006)