摘要
为了提高预警机的探测能力,提出一种基于粒子群优化算法的预警机航线规划方法.利用粒子群优化算法,引入变异因子的概念,并将约束条件和搜索算法相结合,构造了针对性强的适应度函数,建立有效的航线评价规则,给出了航线规划的方法和步骤.仿真结果表明:该算法有效地规划出预警机的巡航线路,避免不利因素的影响,且收敛速度快、占用内存少,变异因子为0.2、0.4时可使探测效率分别达到99%和97%.
To improve the detection capability of EWA,a planning method for EWA course was proposed based on the PSO algorithm.By using the PSO algorithm,the concept of mutation operator was introduced,the concrete fitness function constructed,the effective evaluation rules of course set up and the planning methods and steps for EWA course given by incorporating the constraint condition into the search algorithm.The simulation results show that this algorithm can be used to plan the EWA cruising course effectively,avoid the influence of adverse factors,and has a fast convergence rate with less memory used,making the detecting efficiency up to 99% and 97% when the mutation operator being 0.2 and 0.4.
出处
《空军雷达学院学报》
2010年第6期410-413,417,共5页
Journal of Air Force Radar Academy
