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

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.

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Publication Details

Published
2025-09-08
DOI
https://doi.org/10.1109/mt-its68460.2025.11223611
Primary Topic
UAV Applications and Optimization
Type
article
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article

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

Ren-Yong Guo, Andrea D’Ariano, Shengzong Chen
UAV Applications and Optimization
article

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

Ren-Yong Guo, Andrea D’Ariano, Shengzong Chen
article en

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.

Xi'an Aeronautical University (CN), Beihang University (CN)
Openalex Percentile: Top 55%
UAV Applications and Optimization
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