Application of P article Swarm Algorithm Based on Simulated Annealing for Carrier Aircraft s Recovery

In the course of carrier aircraft?s recovery,landing signal officer must make real-time schedule policy and define the landing sequence of safety and speediness,influenced by some uncertain factors such as remaining oil,battle damage and meteorological conditions.In this paper,a landing model of carrier aircraft?s recovery is developed and the risk cost of carrier aircraft?s landing is offered. Using global searching ability of particle swarm algorithm process the optimization objective func-tion.In order to prevent the algorithm from local optimal solution, selecting the simulated annealing algorithm with sudden jumping ability for local searching. Simulation results prove that particle swarm algorithm based on simulated annealing has the advantage of quick convergence,which can find the reasonable landing sequence.