基于改进粒子群优化的弹道并行求解算法

弹道解算精度与解算时间直接影响了火控系统的整体性能,然而精度与时间往往是相互矛盾的两个因素,在不损失精度的情况下提高解算速度具有重要意义. 基于改进粒子群优化的弹道并行求解算法,采用并行求解算法充分发挥多核计算机的性能,从而在不损失精度的前提下有效地提高了弹道解算的效率. 该方法首先通过引入粒子群优化算法将弹道解算转化为一个寻优过程,利用周氏迭代修正公式计算得到的修正角度引导粒子群更新加快算法的收敛速度;然后通过将粒子分配到并行域的线程中将弹道解算方法并行化. 数值实验表明本方法可以有效提高弹道解算的收敛速度,将计算时间平均缩短为原有时间的1/5. 

A Parallel Method of Ballistic Based on the Improved Particle Swarm Optimization Algorithm

The calculation accuracy and execution time which directly impact on the performance of a fire control system, are contradict each other. Therefore, it is significant to shorten the time of resolving algorithm of ballistic equations without decrease the precision. The parallel method of ballistic based on the improved particle swarm optimization algorithm is able to make good use of a multi-core computer by adopting concurrent computation. Firstly, the process of resolving ballistic equations was translated into a process of optimization by introducing the particle swarm optimization method. In order to improve the rate of convergence, the correction angle obtained through Zhou's iterative correction formula was used to guide the update of particles. Then the parallel method was gained through distributing each particle to threads in parallel domain. Finally, the results of practical calculation examples show this method can efficiently improve the rate of convergence and reduce the average time to one fifth.