We consider a generalization of the well-known Traveling Salesman Problem, called the Vehicle Scheduling Problem (VSP), in which each city is associated with a release time and a service time. The salesman has to visit each city at or after its release time. Our main results are three-fold. First, we devise an approximation algorithm for VSP with performance ratio less than 5/2 when the number of distinct release times is fixed, improving the previous algorithm proposed by Nagamochi et al. [12]. Then we analyze a natural class of algorithms and show that no performance ratio better than 5/2 is possible unless the Metric TSP can be approximated with a ratio strictly less than 3/2, which is a well-known longstanding open question. Finally, we consider a special case of VSP, that has a heavy edge, and present an approximation algorithm with performance ratio less than 5/2 as well. © Springer-Verlag 2012.
CITATION STYLE
Yu, W., Golin, M., & Zhang, G. (2012). Vehicle scheduling on a graph revisited. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7676 LNCS, pp. 362–371). Springer Verlag. https://doi.org/10.1007/978-3-642-35261-4_39
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