Based on efficiency of gradient search and randomness of particle swarm search

a hybrid particle swarm algorithm was proposed

and applied to research the rapid optimization design of ascent rendezvous trajectory for launch vehicles. Regarding the minimum distance between launch vehicles and target aircraft at intersection point as the objective function

the flight program of solid launch vehicles was designed and an optimization model of ascent rendezvous trajectory was established

and solved by the hybrid particle swarm algorithm

genetic algorithm and particle swarm algorithm. The simulation results indicat that:the algorithm can solve the optimization design problem effectively

the average error of rendezvous position is 4.137m

17.940m less than genetic algorithm

and the average optimization time is 488.922s

2342.125s shorter than particle swarm algorithm. The algorithm can be applied to the rapid optimization design of ascent rendezvous trajectory for launch vehicles because of its faster search speed and higher convergence accuracy.