AAAI Publications, Twenty-Ninth AAAI Conference on Artificial Intelligence

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An Efficient Forest-Based Tabu Search Algorithm for the Split-delivery Vehicle Routing Problem
Zizhen Zhang, Huang He, Zhixing Luo, Hu Qin, Songshan Guo

Last modified: 2015-03-04

Abstract


The split-delivery vehicle routing problem (SDVRP) is a natural extension of the classical vehicle routing problem (VRP) that allows the same customer to be served by more than one vehicle. This problem is a very challenging combinatorial optimization problem and has attracted much academic attention. To solve it, most of the literature articles adopted heuristic approaches in which the solution is represented by a set of delivery patterns, and the search operators were derived from the traditional VRP operators. Differently, our approach employs the combination of a set of routes and a forest to represent the solution. Several forest-based operators are accordingly introduced. We integrate the new operators into a simple tabu search framework and then demonstrate the efficiency of our approach by conducting experiments on existing benchmark instances.

Keywords


split-delivery; vehicle routing; forest-based heuristic

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