The Improved Particle Swarm Optimization Applied in Auto Carrier Landing System

To solve the problem that standard Particle Swarm Optimization can get into local optimum prematurely, an improved Particle Swarm Optimization algorithm is proposed. The improved algorithm can be used to optimize every parameters of Auto carrier landing system. It improves the population diversity and the searching efficiency of particle swarm by introducing mutation operator based on orthogonal design area and modifying particles speed. The effectiveness of this algorithm is verified by using simulation experiments.