基于改进灰狼优化算法的电子干扰机空域划设

Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout

在现代化战争中,遂行突防任务的战斗机通常需要与电子干扰机协同配合,来完成特定的任务。为了更高效地利用空域资源,针对突防作战中干扰机的最优空域划设问题,在给出电子干扰下雷达探测范围、航线安全间隔以及有效干扰时间的基础上,建立电子干扰机的最优空域划设模型;在原始灰狼算法中将线性调节参数改为非线性调节参数,同时引入粒子群算法中的记忆功能,改进原始灰狼算法;并采用改进的灰狼优化算法寻找最优的空域基准点,进而确定电子干扰机的最优空域范围。结果表明:对于特定的突防任务,改进的灰狼优化算法比原始灰狼优化算法和粒子群算法更具优越性,能够快速、高效地找到最优的空域基准点;本文所建立的电子干扰机的最优空域划设模型是科学、有效的。

Aiming at optimal airspace layout of electronic jamming during air fighter＇s penetration operation,the range of radar detection under electronic jamming,route safety interval,and effective jamming time under electronic interference are described.In order to achieve the safety penetration of the penetration fighters,to ensure the safety of the jammer itself,and to achieve the purpose of efficient use of airspace resources,the optimal airspace layout model of the electronic jamming machine is established,and improved grey wolf optimization（IGWO）is used to find the optimal airspace reference point.To improve the optimization of the algorithm,the linear adjustment parameter in original grey wolf optimization is changed to a non-linear one,and the memory function swarm optimization is added.The simulation results show that improved grey wolf optimization（IGWO）is superior to the original grey wolf optimization algorithm and particle swarm optimization,can quickly find the optimal airspace reference point to complete a specific penetration task.It is proved that the model is scientific and effective.