Route planning is a typical multi-objective optimization problem.Traditional linear weighted sum method needs repeated iteration to get a set of the objective weight coefficients for satisfying the requirement of engineering characters.Physical programming can reflect the requirement of the route planning objectives intuitively by constructing preference functionsavoiding computation burden caused by repeated iteration to acquire the weight coefficients of all objectives.Thereforephysical programming was used together with particle swarm optimization for multi-objective route planning of unmanned aerial vehicle (UAV).Simulation results show that the proposed method is able to acquire a compromise solution under the special preference structure of the route planning objectives.