Special Issue: ICCAS 2024

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

Optimization of Dual-type Multi-drone Formations for Load-carrying Missions

Ardian Rizaldi and Yoonsoo Kim*

Gyeongsang National University

Abstract

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.

Article

Special Issue: ICCAS 2024

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.

Optimization of Dual-type Multi-drone Formations for Load-carrying Missions

Ardian Rizaldi and Yoonsoo Kim*

Gyeongsang National University

Abstract

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.

IJCAS
February 2025

Vol. 23, No. 2, pp. 359~682

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