In order to realize the universal support of missile transportation, a new universal missile fixation platform which can be installed on the deputy-frame of the military go-anywhere vehicle is designed to enhance the transportation ability of missile equipments. Because the layout of the fixation mechanisms on the platform directly decides the clearance distribution of the storage and transportation boxes, the space requirement and choice of the chassis, it is necessary to optimize the layout of the fixation platform. The optimized results should meet the need that the area where the fixation mechanisms layout covers should be reduced to the minimum, so as to decrease the space requirement and choice difficulty of chassis. A new Hybrid Particle Swarm Optimization algorithm is put forward to solve the problem. Based on the basic PSO whose inertial weight has been improved, the Simulated Annealing idea is introduced into optimizing the global-best solution that is the result of every iteration sub-step of PSO. The simulation results show that, compared with the basic PSO, the HPSO is superior in searching ability, precision, convergence and optimal results. The paper proves that the HPSO can solve the optimizing layout problem of universal missile fixation platform well.