Decision support for vehicle dispatching using genetic programming

  • Authors:

  • I. Benyahia;J. -Y. Potvin

  • Affiliations:

  • Centre de Recherche sur les Transp., Montreal Univ., Que.;-

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
  • Year:
  • 1998

Quantified Score

Hi-index 0.00

Visualization

Abstract

Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values that describes its current situation with respect to new incoming service requests. Using this attribute description, a utility function aimed at approximating the decision process of a professional dispatcher is constructed through genetic programming. Computational results are reported on requests collected from a courier service company and a comparison is provided with a neural network model and a simple dispatching policy