Trade-off Analysis of Large-Scale Swarm Engagements is a Naval Post Graduate School thesis by Nathan C. Redder.
The aim of this research is to compare the effectiveness of targeting algorithms and individual drone parameters in attacker-defender swarm engagements through a trade-off analysis. The study focused on the algorithms created for the Service Academies Swarm Challenge (SASC), which is a live-fly drone swarm exercise involving swarm-on-swarm engagements.
To conduct the analysis, dynamic swarm simulations were used to explore variations in swarm composition and behavior, enabling the researchers to validate the SASC’s qualitative findings on swarm performance. Furthermore, scaling analysis techniques were employed to carry out quantitative trade-off analysis and develop functional forms for assessing defender swarm fitness. The outcomes of this study establish a foundation for investigating more complex swarm behaviors in subsequent research.
Publication Date- December 2022
Trade-off Analysis of Large-Scale Swarm Engagements contains the following major sections:
- Introduction to Drone Swarms
- Case Study: Service Academy Swarm Challenge
- Swarm Modeling Methodology
- Results: Swarm Modelling
- Results: Scaling Analysis
- Conclusion and Outlook
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Author-Lieutenant Nathan C. Redder, U.S. Navy
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