Multidimentional self-organization for online time-constrained vehicle routing problems

  • Authors:
  • Besma Zeddini;Mahdi Zargayouna

  • Affiliations:
  • University of Le Havre, LMAH Laboratory, Le Havre Cedex, France;INRETS Institute, Gretia laboratory, Noisy le Grand Cedex, France

  • Venue:
  • KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
  • Year:
  • 2010

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Abstract

Vehicle Routing problems are highly complex problems for which different Artificial Intelligence techniques have been used. In this paper, we propose two agent-oriented self-organization models for the dynamic version of the problem with time windows. The first model relies on a spatial representation, and the second is based on a space-time representation of the agents' action zones, which are able to maintain a good distribution of the vehicles on the environment. This distribution provides better results than traditional methods by allowing the agents to take their decisions while anticipating future changes in the system's parameters.