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March 31, 2024ComplexityOpen Access

Research on Combat Mission Configuration of Unmanned Aerial Vehicle Maritime Reconnaissance Based on Particle Swarm Optimization Algorithm

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Authors

PDPeng DongNaval University of EngineeringWCWeibing ChenXuzhou Medical CollegeKWKewen WangGriffith University

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Implication

Employs particle swarm optimization to enhance UAV combat reconnaissance effectiveness in naval battles, indicating potential operational improvements.

Key Points

  • Combat reconnaissance effectiveness improves with optimized configurations of unmanned aerial vehicles.
  • Using particle swarm optimization, operational scenarios for UAVs are enhanced, showcasing adaptability to naval combat requirements.
  • The analysis focuses on UAVs in naval battlefields, addressing the limitations of traditional reconnaissance methods like surface radar in complex environments and scenarios for UAV operations are outlined for tactical advantages in maritime warfare. This research may enhance the potential operational effectiveness of military UAVs in future naval engagements.

Cite This Study

Dong et al. (2024) studied this question.

synapsesocial.com/papers/68e71808b6db6435876913cchttps://doi.org/10.1155/2024/9143774
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