Truck-drone combined logistics has received increasing attention, and the multi-drops flying sidekick traveling salesman problem (mFSTSP) is one of the classic models. For the mFSTSP, we establishes an integer programming model based on drone range constraint, and designs a sub-circuit construction algorithm according to the modeling idea. Based on the range of the drone, the obtained TSP route is segmented and the optimal sub-circuit are constructed in sequence. Further optimization through dynamic adjustment augmented service mechanism, and three discussions are conducted on the starting position of the segmentation. Considering different operational scenarios, a set of numerical experiments are conducted. Compared with several advanced heuristic algorithms, the proposed sub-circuit construction algorithm shows remarkable advantages in solving large-scale problems, with a maximum solution scale exceeding 700 nodes.

Chen, S., Guo, R., D'Ariano, A. (2025). Optimizing Truck-Drone Delivery Routes: A Sub-Circuit Construction Algorithm. In 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2025 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/mt-its68460.2025.11223611].

Optimizing Truck-Drone Delivery Routes: A Sub-Circuit Construction Algorithm

D'Ariano, Andrea
2025-01-01

Abstract

Truck-drone combined logistics has received increasing attention, and the multi-drops flying sidekick traveling salesman problem (mFSTSP) is one of the classic models. For the mFSTSP, we establishes an integer programming model based on drone range constraint, and designs a sub-circuit construction algorithm according to the modeling idea. Based on the range of the drone, the obtained TSP route is segmented and the optimal sub-circuit are constructed in sequence. Further optimization through dynamic adjustment augmented service mechanism, and three discussions are conducted on the starting position of the segmentation. Considering different operational scenarios, a set of numerical experiments are conducted. Compared with several advanced heuristic algorithms, the proposed sub-circuit construction algorithm shows remarkable advantages in solving large-scale problems, with a maximum solution scale exceeding 700 nodes.
2025
Chen, S., Guo, R., D'Ariano, A. (2025). Optimizing Truck-Drone Delivery Routes: A Sub-Circuit Construction Algorithm. In 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2025 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/mt-its68460.2025.11223611].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/536165
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