Research on departure planning of carrier aircraft based on IPSO
An improved particle swarm optimization(IPSO)algorithm is proposed to address the problem of departure efficiency for carrier aircraft.Firstly,a mathematical model for the departure process and constraints of carrier aircraft is established,and a continuous coding form is designed to represent the departure planning scheme based on the characteristics of the departure problem.Then,by introducing a simulated annealing mechanism based on Levy flight disturbance on the basis of parameter adaptive particle swarm optimization algorithm,the IPSO algorithm is proposed for solving the departure planning problem.Finally,simulation verification is conducted for the departure planning scenarios of aircraft 8,10,and 12 respectively.The simulation results indicate that the proposed algorithm has better optimization ability compared to existing optimization algorithms.