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

Jalel Euchi

International Journal of Operational Research, 2014, vol. 21, issue 4, 433-450

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.

Keywords: vehicle routing; multiple trips; time windows; estimation of distribution algorithm; truck scheduling; fixed vehicle fleet; vehicle trips; hybrid evolutionary algorithm; transport optimisation; local search. (search for similar items in EconPapers)
Date: 2014
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