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Published in: Journal of Combinatorial Optimization 3/2021

20-05-2019

Improved algorithms for single vehicle scheduling on tree/cycle networks

Authors: Yuanxiao Wu, Xiwen Lu

Published in: Journal of Combinatorial Optimization | Issue 3/2021

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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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Metadata
Title
Improved algorithms for single vehicle scheduling on tree/cycle networks
Authors
Yuanxiao Wu
Xiwen Lu
Publication date
20-05-2019
Publisher
Springer US
Published in
Journal of Combinatorial Optimization / Issue 3/2021
Print ISSN: 1382-6905
Electronic ISSN: 1573-2886
DOI
https://doi.org/10.1007/s10878-019-00420-2

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