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

Authors
Ardian RizaldiYoonsoo 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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공학계열 > 기계항공우주공학부 > Journal Articles

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