An Aircraft Strike Route Planning Based on Improved Particle Swarm Optimization Algorithm
PAN Xingyi
HE Xingyu
FENG Guangfei
YANG Liwei
Abstract：In view of the problems that fight jets have to confront danger of complex battlefield environ-ments while carrying out strike missions in accordance with the needs of operational intention reached,an improved particle swarm optimization(PSO)algorithm is proposed.The algorithm,first,is to convert cartesian coordinates into spherical coordinates,and then,introduce adaptive weight factors to solve the problem that the PSO algorithm is too slow at converge speed and the outcome of calculation is optimum in local solution.It formulates various constraints along the flight path into different cost functions,with the PSO problem being to identify the path with the minimum cost value.The cost functions include the air-craft's track length,pitch angle variation,altitude difference variation,obstacle avoidance,and smooth-ness constraints.The results demonstrate that the PSO algorithm combined with spherical coordinates and adaptive weight factors is prior to the traditional PSO,the ant colony optimization(ACO),and the genetic algorithm(GA)in flight path planning within complex environments.
Keywords：complex battlefield environmentflight path planningsimproved particle swarm optimization algorithmcost function
Publication Date：2025-12-25
Online Publishing Date：2025-12-26(First online date of this platform, not the publication date of the document)
Pages：12( 23-34 )