Enhancing Assault Maneuvers in Simulated Scenarios of Multiple Invader Kamikaze Drones through the Utilization of a Modified Adaptive Elforce Algorithm
Dublin Core
Title
Enhancing Assault Maneuvers in Simulated Scenarios of Multiple Invader Kamikaze Drones through the Utilization of a Modified Adaptive Elforce Algorithm
Subject
drone, drone formation, kamikaze, el-force, 3d simulation, manuever
Description
The development of autonomous drone technology has led in their widespread deployment, especially in combat scenarios. One instance of this is the utilization of kamikaze drones, as seen in the Ukraine war. Autonomous defense drones have been used to counter these invading kamikaze drones. This study focuses on simulating scenarios involving invader vs. defender drones, primarily exploring invader drone maneuver motions to maximize damage inflicted on chosen targets. The work we conducted presents an enhanced el-force algorithm that employs Coulomb's Law-based maneuver techniques to improve the effectiveness of multiple kamikaze invader drones when engaging target defended by defender drones. We aim to improve traditional el-force by addressing key challenges such as siege tendencies and unproductive conduct. In addition, we explore various attacking formations to determine the
most effective formation. To evaluate the performance of our proposed algorithm, we
conducted simulation in a dynamic 3D environment, employing damage inflicted as the
evaluation metric. Through rigorous testing, we conclusively demonstrate that our proposed
method combining with a circular formation, outperforms alternative attacking maneuvers
and formations. Our findings provide insights into optimal maneuver movements and attacking formations, improving the effectiveness of invader drones in engaging and damaging designated targets.
most effective formation. To evaluate the performance of our proposed algorithm, we
conducted simulation in a dynamic 3D environment, employing damage inflicted as the
evaluation metric. Through rigorous testing, we conclusively demonstrate that our proposed
method combining with a circular formation, outperforms alternative attacking maneuvers
and formations. Our findings provide insights into optimal maneuver movements and attacking formations, improving the effectiveness of invader drones in engaging and damaging designated targets.
Creator
Gregory Patrick Triditya, Mgs M Luthfi Ramadhan, and Wisnu Jatmiko
Source
http://dx.doi.org/10.21609/jiki.v17i1.1202
Publisher
Faculty of Computer Science Universitas Indonesia
Date
2024-02-25
Contributor
Sri Wahyuni
Rights
e-ISSN : 2502-9274 printed ISSN : 2088-7051
Format
PDF
Language
English
Type
Text
Coverage
Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Files
Collection
Citation
Gregory Patrick Triditya, Mgs M Luthfi Ramadhan, and Wisnu Jatmiko, “Enhancing Assault Maneuvers in Simulated Scenarios of Multiple Invader Kamikaze Drones through the Utilization of a Modified Adaptive Elforce Algorithm,” Repository Horizon University Indonesia, accessed May 22, 2025, https://repository.horizon.ac.id/items/show/8868.