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Datasets for the team orienteering problem (TOP) and generalized team orienteering problem (GTOP)

<p>The six datasets are used in the following paper: &nbsp;Wenzheng Xu , Weifa Liang, Zichuan Xu, Jian Peng, Dezhong Peng, Tang Liu, Xiaohua Jia, and Sajal K. Das,&ldquo;Approximation algorithms for the generalized team orienteering problem and its applications,&rdquo;<em><strong>which was submitted to journal</strong> </em>IEEE/ACM Transactions on Networking (ToN) .</p> <p>Specific descriptions for the datasets:</p> <p><strong>1. GTOP-chargingPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in rechargable sensor networks. Some results were published in the following paper: Wenzheng Xu, Zichuan Xu, Jian Peng, Weifa Liang, Tang Liu, Xiaohua Jia, and Sajal K. Das,&ldquo;Approximation algorithms for the team orienteering problem,&rdquo;in Proc. 39th IEEE International Conference on Computer Communications (INFOCOM), 2020, pp. 1389&ndash;1398.</p> <p><strong>2.</strong> <strong>GTOP-chargingTestInstances.rar</strong>: the test instances of rechargable sensor networks.</p> <p><strong>3. GTOP-uavNetworkPerformanceTable.xlsx</strong>: the performance comparison of different algorithms in UAV networks for monitoring disaster areas.</p> <p><strong>4.</strong> <strong>GTOP-UAVnetworkTestInstances.rar</strong>:&nbsp; the test instances for the GTOP problem in UAV networks.</p> <p><strong>5.&nbsp;</strong> <strong>TOP-157instances-original.rar</strong>:&nbsp; 157 test instances for the team orienteering problem, which are also available at:</p> <p>https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html</p> <p><strong>6. TOP-performance.pdf</strong>: the performance comparison of different algorithms for the TOP problems,</p> <p>which is also available at: https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html</p> <p>&nbsp;</p> <p>Please provide reference to Thibaut VIDAL, https://w1.cirrelt.ca/~vidalt/en/VRP-resources.html, if you use datasets 5 and 6.</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

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