Cruise missile multiple routes planning based on hybrid particle swarm optimization

In order to solve cruise missile route planning problem for low-altitude penetration , a hybrid particle swarm optimization (HPSO) algorithm is proposed. Firstly, K-means clustering algorithm is applied to divide the particle swarm into multiple isolated sub-populations, then niche algorithm is adopted to make all particles independently search for optimal values in their own sub-populations. Finally simulated annealing (SA) algorithm is introduced to avoid the weakness of PSO algorithm, which can easily be trapped into the local optimum in the search process. The optimal value obtained by every sub-population search corresponds to an optimal route, multiple different optimal routes are provided for cruise missile. Simulation results show that the HPSO algorithm has a fast convergence rate, and the planned routes have flat ballisticpaths and short ranges which meet the low-altitude penetration requirements.