International Journal of Control, Automation, and Systems 2025; 23(2): 498-509
https://doi.org/10.1007/s12555-024-0544-6
© The International Journal of Control, Automation, and Systems
The use of drones in logistics transportation has significantly increased recently. One application involves transporting loads from one location to a different location. For larger loads, multiple drones are employed to carry the load collectively. This study introduces a single approach by relaxing the problem formulation and dual stage heuristic approach for dual-type multi-drone systems. Comparative analysis with a simulated annealing (SA) algorithm demonstrates that our single stage (SS) and dual stage (DS) approaches yield satisfactory results with minimal deviation from SA, highlighting SS’s superior computational efficiency.
Keywords Drones, formation, optimization, UAV.
International Journal of Control, Automation, and Systems 2025; 23(2): 498-509
Published online February 1, 2025 https://doi.org/10.1007/s12555-024-0544-6
Copyright © The International Journal of Control, Automation, and Systems.
Ardian Rizaldi and Yoonsoo Kim*
Gyeongsang National University
The use of drones in logistics transportation has significantly increased recently. One application involves transporting loads from one location to a different location. For larger loads, multiple drones are employed to carry the load collectively. This study introduces a single approach by relaxing the problem formulation and dual stage heuristic approach for dual-type multi-drone systems. Comparative analysis with a simulated annealing (SA) algorithm demonstrates that our single stage (SS) and dual stage (DS) approaches yield satisfactory results with minimal deviation from SA, highlighting SS’s superior computational efficiency.
Keywords: Drones, formation, optimization, UAV.
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