To solve the problem in path planning for multiple UAVsa hybrid Particle Swarm Optimization (PSO) algorithm is adoptedand the sum total of the cost function of each UAVs path is guaranteed to a minimum.The city environmentincluding buildings and other obstacles and threatening areas with radar interferenceis modeled.The method of setting up a number of waypoints and then inserting the split point is used.Thenthe hybrid PSO algorithm with differential evolution operations and adaptive inertia weight strategies is used for path planning of multiple UAVs.Finallythe validity of the algorithm is verified by simulations.