Intelligent Penetration of UAV Based on Moth Suppression Algorithm

Aiming at the large number of planning constraints faced by UAV's in low-altitude penetration, ambiguity and strong coupling among various factors, an intelligent UAV penetration algorithm based on moth fire suppression optimization algorithm is proposed. MFO algorithm is a novel swarm intelligence optimization algorithm. The main inspiration of this algorithm comes from the flying mode of the moth, which is called lateral positioning in nature. As a new bionic swarm intelligence optimization algorithm, the algorithm analyzes the biological principle of the moth fire suppression optimization algorithm, establishes a mathematical model for the algorithm implementation process, and simulates the algorithm through typical function optimization. The simulation experiment and comparative analysis show that the moth fire suppression optimization algorithm can reduce the overall voyage cost of the UAV's low-altitude penetration path planning, and the calculation speed is faster, besides, the stability and effectiveness can be guaranteed, which could effectively avoid the threat source and perform the low-altitude penetration of UAV.