,
Tomoki Hasegawa,
Eiji Ueda,
Naoki Akiyama,
Akira Yoshioka
Creative Commons Attribution 4.0 International license
We study a routing problem for delivering and picking up multiple commodities with different priorities, motivated by the need to provide basic services to people in depopulated rural areas with a driver shortage. We define our problem as a generalization of the team orienteering problem with time windows, with additional constraints motivated by real-world applications. We develop constraint programming (CP) and mixed-integer programming (MIP) models to solve the formulated problem. In addition, we propose an incremental warm-starting strategy, which obtains an initial solution by solving a problem considering only a subset of commodities. In our experiment, CP outperforms MIP, and incremental warm-starting improves the performance of both approaches.
@InProceedings{kuroiwa_et_al:LIPIcs.CP.2026.36,
author = {Kuroiwa, Ryo and Hasegawa, Tomoki and Ueda, Eiji and Akiyama, Naoki and Yoshioka, Akira},
title = {{Optimizing a Multi-Commodity Home-Delivery and Pickup Service in Depopulated Rural Areas with Constraint Programming}},
booktitle = {32nd International Conference on Principles and Practice of Constraint Programming (CP 2026)},
pages = {36:1--36:22},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-432-1},
ISSN = {1868-8969},
year = {2026},
volume = {379},
editor = {Beldiceanu, Nicolas},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2026.36},
URN = {urn:nbn:de:0030-drops-266689},
doi = {10.4230/LIPIcs.CP.2026.36},
annote = {Keywords: Application, Operations Research \& Mathematical Optimisation}
}
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