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Research Article Peer ReviewedAt least two reviewers Open Access

Development of a Simulator for UAV Swarm Operation Planning using Evolutionary Algorithms

1Ankara University
✉ Corresponding author: Gazi Erkan Bostancı · ebostanci@ankara.edu.tr
Proceedings Cognitive Models and Artificial Intelligence Conference Volume 15 Pages 13–17 Year 2023
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Abstract

In latest years, UAVs are widely used in many areas. Their advantages attracts researches all around the world. When UAVs are wanted to be used effectively, swarm systems offer better and more advantageous solutions. Using a UAV swarm has some advantages over a single agent UAV but operation planning must be considered carefully. There are lots of operation planning algorithms in literature. If these algorithms are evaluated for their effectiveness, evolutionary algorithms comes to the fore. Operation planning algorithms and UAV swarms are generally tested in simulation environments. There are lots of simulation environments and tools. They can handle simulations in many areas ranging from aviation to automobile. However, they do not offer any features dedicated for UAV swarms. In this work, a simulation software is designed for UAV swarms. The designed simulation software can plan an operation for an UAV swarm using evolutionary algorithms and simulate them. In this paper, the designed software and its architecture is explained in details.

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Cite this article

Aydın, M., Bostancı, G. E., Güzel, M. S., & Açıcı, K. (2023). Development of a Simulator for UAV Swarm Operation Planning using Evolutionary Algorithms. In Cognitive Models and Artificial Intelligence Conference (pp. 13–17). SET Technology. https://doi.org/10.36287/setsci.6.1.009

Article History

Published
29 Dec 2023

License

© 2023 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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