Route Planning of Unmanned Combat Aerial Vehicles Based on Improved Particle Swarm Optimization Algorithm
To ensure a safe and high-efficient attack, research on the unmanned combat aerial vehicles route planning. Presents an improved PSO algorithm overcoming inadequate use of information and local convergence, which are the defects of standard PSO algorithm. Implements the route optimization based on the improved PSO algorithm, results show that local convergence is avoided by the improved algorithm, and global convergence speed is accelerated with high efficient and precision.
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维普
