Aiming at the problem of strike mission planning for multi-type target such as points, lines and squares that exist in complex dynamic scenes, a coupled time synergy dubins trajectory planning algorithm is proposed as a multi-type target strike mission planning methodology. Firstly, for the characteristics of the target, the mathematical models of point, line and square targets are established respectively, and the incidental constraints of different types of targets are analyzed to establish the mathematical model of optimization function for the strike mission planning; secondly, the SCHO (Sinh Cosh Optimizer) method is combined with the problem in this paper to establish the mapping relationship between the mission planning solution and the optimization result of the algorithm. This includes incorporating a UAVs time synergy dubins trajectory planning strategy as one of the input conditions considered in the task planning phase; finally, a typical task simulation scenario is established and compared with other swarm intelligence optimization algorithms. The simulation results show that the method can realize the rapid solution of the mission planning problem of coupled UAVs time synergistic dubins, and can obtain the flyable strike trajectory that meets the performance parameters of the real UAV.