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Optimization Approaches for the Traveling Salesman Problem with Drone
Open accessAbstract
The fast and cost-efficient home delivery of goods ordered online is logistically challenging. Many companies are looking for new ways to cross the last mile to their customers. One technology-enabled opportunity that recently has received much attention is the use of drones to support deliveries. An innovative last-mile delivery concept in which a truck collaborates with a drone to make deliveries gives rise to a new variant of the traveling salesman problem (TSP) that we call the TSP with drone. In this paper, we model this problem as an integer program and develop several fast route-first, cluster-second heuristics based on local search and dynamic programming. We prove worst-case approximation ratios for the heuristics and test their performance by comparing the solutions to the optimal solutions for small instances. In addition, we apply our heuristics to several artificial instances with different characteristics and sizes. Our experiments show that substantial savings are possible with this concept compared to truck-only delivery. The online appendix is available at https://doi.org/10.1287/trsc.2017.0791 .
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Cited by
Otto, A., Agatz, N., Campbell, J., Golden, B., & Pesch, E. (2018) · Networks · doi:10.1002/net.21818 · Cited by 985
Self-citationOn the min-cost Traveling Salesman Problem with Drone
Ha, Q. M., Deville, Y., Pham, Q. D., & Hà, M. H. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2017.11.015 · Cited by 622
Drone-aided routing: A literature review
Macrina, G., Di Puglia Pugliese, L., Guerriero, F., & Laporte, G. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2020.102762 · Cited by 522
Chung, S. H., Sah, B., & Lee, J. (2020) · Computers & Operations Research · doi:10.1016/j.cor.2020.105004 · Cited by 441
Chiang, W.-C., Li, Y., Shang, J., & Urban, T. L. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.03.117 · Cited by 391
Metadata
- Authors
- Agatz, N., Bouman, P., & Schmidt, M.
- Venue
- Transportation Science
- Published
- 2018-08
- Volume
- 52
- Issue
- 4
- Pages
- 965-981
- ISSN
- 0041-1655 (ISSN-L)
- 1526-5447
- OpenAlex
- W2990601306
- Cited by
- 1,029
- References
- 0
- FWCI
- 60.23
- Type
- journal article
- Language
- en
- Open access
- green
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