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- W2014916699 abstract "In this paper, we propose a hybrid ACO algorithm for solving vehicle routing problem (VRP) heuristically in combination with an exact In the basic VRP, geographically scattered customers of known demand are supplied from a single depot by a fleet of identically capacitated vehicles. The intuition of the proposed algorithm is that nodes which are near to each other will probably belong to the same branch of the minimum spanning tree of the problem graph and thus will probably belong to the same route in VRP. Given a clustering of client nodes, the solution is to find a route in these clusters by using ACO with a modified version of transition rule of the ants. At the end of each iteration, ACO tries to improve the quality of solutions by using a local search algorithm, and update the associated weights of the graph arcs." @default.
- W2014916699 created "2016-06-24" @default.
- W2014916699 creator A5012010081 @default.
- W2014916699 date "2010-06-01" @default.
- W2014916699 modified "2023-09-27" @default.
- W2014916699 title "A Algorithm for the Vehicle Problem" @default.
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- W2014916699 doi "https://doi.org/10.5772/9698" @default.
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