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Improved algorithms for single vehicle scheduling on tree/cycle networks

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Abstract

The single vehicle scheduling problems based on tree/cycle networks are studied in this paper. Each customer, assumed as a vertex on the given network, has a release time and a service time requirement. The single vehicle starts from the depot and aims to serve all the customers. The objective of the problem is to find the optimal routing schedule so as to minimize the makespan. We provide a \(\frac{16}{9}\)-approximation algorithm and a \(\frac{48}{25}\)-approximation algorithm for the tour-version and path-version of single vehicle scheduling problem on a tree, respectively. For the tour-version and path-version of single vehicle scheduling problem on a cycle, we present a \(\frac{5}{3}\)-approximation algorithm and a \(\frac{29}{17}\)-approximation algorithm, respectively.

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Acknowledgements

The authors would like to thank the associated editor and the anonymous referees for their constructive comments and kind suggestions. This research was supported by the National Natural Science Foundation of China under Grant Nos. 11871213, 71431004 and 11371137.

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Correspondence to Xiwen Lu.

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Wu, Y., Lu, X. Improved algorithms for single vehicle scheduling on tree/cycle networks. J Comb Optim 42, 565–580 (2021). https://doi.org/10.1007/s10878-019-00420-2

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