Optimization of Dual-type Multi-drone Formations for Load-carrying Missions
- Authors
- Ardian Rizaldi; Yoonsoo Kim
- Issue Date
- Feb-2025
- Publisher
- 제어·로봇·시스템학회
- Keywords
- Drones; formation; optimization; UAV.
- Citation
- International Journal of Control, Automation, and Systems, v.23, no.2, pp 498 - 509
- Pages
- 12
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- International Journal of Control, Automation, and Systems
- Volume
- 23
- Number
- 2
- Start Page
- 498
- End Page
- 509
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/75913
- DOI
- 10.1007/s12555-024-0544-6
- ISSN
- 1598-6446
2005-4092
- 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.
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Collections - 공학계열 > 기계항공우주공학부 > Journal Articles

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