基于混合粒子群算法的通用导弹固定平台布局优化

为实现导弹运输的通用化保障,提高导弹运输装备的运输能力,设计了一种可以加装在越野车副车架上的新型通用导弹固定平台,满足固定机构布局面积达到最小的要求,从而减小对底盘上装空间的需求,降低底盘选型的难度.针对这一问题,在对基本粒子群算法中的惯性权重取值进行改进的基础上,利用模拟退火原理对粒子群算法每次迭代产生的全局最优解进行优化.经仿真实验验证,与基本粒子群算法相比,该混合算法搜索能力强、搜索精度高、收敛性好、优化效果明显,很好的解决了通用导弹固定平台的布局优化问题.

Optimizing Layout of the Universal Missile Fixation Platform Based on Hybrid Particle Swarm Optimization Algorithm

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.