Decision support for vehicle dispatching using genetic programming
Benyahia, I.
Potvin, J.-Y.
Centre de Recherche sur les Transp., Montreal Univ., Que.;
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
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