Memetic Algorithm Based on a Constraint Satisfaction Technique for VRPTW
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
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This paper presents an algorithm called CSPVRPTW for the Vehicles Routing Problem with Time Windows (VRPTW), which applies the PCP method (Precedence Constraint Posting) used for models of scheduling as a CSP (Constraint Satisfaction Problem). PCP involves the calculation of the shortest path in partial and global form, between pairs of nodes and among all the nodes respectively, in the graph that represents the VRPTW model. In order to apply PCP to VRPTW, the problem is treated as a CSP. The results show that the proposed search algorithm is efficient in the search for the global optimum for some problems.