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Hybrid estimation of distribution algorithm for a multiple trips fixed fleet vehicle routing problems with time windows

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  • Jalel Euchi

Abstract

In this paper, we consider a variant of vehicle routing problem with multiple trip and time windows. In this alternative problem, we think about the scheduling of trucks to a number of customers in the presence of fixed fleet and time windows constraints. This type of problem can be described as determining a number of vehicle trips minimising total travelled distance complying with the time windows and the multiple use of vehicles. We call this problem a multiple trips fixed fleet vehicle routing problems with time windows (MTFFVRPTW). To solve this variant, a new hybrid evolutionary algorithm for transport optimisation problems, called estimation of distribution algorithm with local search is used. The proposed algorithm integrates a double structure of distribution technique, which is used to introduce the variables dependency. To evaluate our approach we provide a number of experimentation to a modified Solomon's instances for the case of multiple trips. The results show that the hybrid proposed algorithm offer a good quality solution in the term of objective functions, also in the running time.

Suggested Citation

  • Jalel Euchi, 2014. "Hybrid estimation of distribution algorithm for a multiple trips fixed fleet vehicle routing problems with time windows," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 21(4), pages 433-450.
    • Handle: RePEc:ids:ijores:v:21:y:2014:i:4:p:433-450
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