摘要
针对攻击机突击作战中,干扰机编队协同决策问题,在给出两种不同威胁作用范围定义及相互关系的基础上,为配合攻击机完成预定作战任务,并充分考虑干扰机编队自身安全,建立了确定干扰目标分配和干扰最优布阵的协同决策模型;为保证特定航路走廊的安全性,避免复杂的几何建模,同时为增加群体的多样性,设计了一种基于数学形态学的小生境遗传算法。仿真结果表明,特定威胁环境中,该算法对要求完成任意突击任务的航路走廊,能快速计算出合理的干扰机编队协同方案。
Aiming at cooperative decision making of jammer formation during air fighter＇ s penetration attack, two definitions of threat scope and their relationship are given. In order to cooperate with air fighter to finish one mission, considering sufficiently the jammer formation＇ s safety, a cooperative decision making model which can get target allocation and optimal embattling of jammer formation is built. To ensure some flying path＇s safety and avoid building complex geometric model, as well as to increase the variety of population, one niche genetic algorithm based on mathematical morphology is designed. Simulation studies show that in certain battle field, due to a path to finish some penetration task, the algorithm can quickly get reasonable cooperative decision.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第2期307-312,共6页
Systems Engineering and Electronics
基金
航空科学基金(20095196012)资助课题
关键词
突击作战
协同决策
数学形态学
小生境遗传算法
penetration attack
cooperative decision making
mathematical morphology
niche genetic algorithm
