Optimal Formation of Heterogeneous Drones Carrying a Load
- Authors
- Rizaldi, Ardian; Kim, Yoonsoo
- Issue Date
- Oct-2024
- Publisher
- IEEE Computer Society
- Keywords
- drones; formation; optimization
- Citation
- International Conference on Control, Automation and Systems, pp 1455 - 1456
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- International Conference on Control, Automation and Systems
- Start Page
- 1455
- End Page
- 1456
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/75752
- DOI
- 10.23919/ICCAS63016.2024.10773291
- ISSN
- 1598-7833
- 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. © 2024 ICROS.
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