改进BAS-TIMS算法在空战机动决策中的应用

针对当前空战机动决策精确度低、实时性差的缺点,对天牛须搜索-战术免疫机动系统(Beetle Antennae Search-Tactical Immune Maneuver System, BAS-TIMS)算法进行改进,并应用于空战机动决策中。增加左爬升、右爬升、左俯冲、右俯冲4种机动,对传统的机动策略库进行扩充,设计了11种基本机动策略并给出了相应的控制方法。基于距离、高度、速度、角度和战机性能优势函数,利用非参量法构造战机机动决策综合优势函数。针对天牛须搜索算法在全局搜索和收敛速度上存在的缺陷,引入蒙特卡洛概率迭代的方法对算法进行改进,并和战术免疫机动系统进行融合,将改进的BAS-TIMS算法用于空战机动决策。设计算例进行仿真分析,并将结果和博弈论法、改进共生生物免疫进化算法、传统BAS算法和传统TIMS模型的计算结果进行对比,验证所提算法的有效性。仿真结果表明:改进BAS-TIMS算法在空战机动决策的收敛精度、收敛速度和全局搜索能力上更加具有优势。

Application of the improved BAS-TIMS algorithm in air combat maneuver decision

Owing to the low accuracy and poor real-time ability of modern air combat maneuver decision-making, this paper improves the Beetle Antennae Search - Tactical Immune Maneuvers (BAS-TIMS) algorithm and apply to air combat maneuver decision-making. Firstly, the traditional maneuver inventory is enlarged by adding four maneuvers, left climbing, right climbing, left diving, right diving. Besides, eleven basic maneuver tactics are designed and we gave a method to control them. Then, considering range, height, speed, angle and the superiority function of fighter performance, we built a comprehensive superiority function of fighter performance with the help of nonparametric model. Furthermore, Monte Carlo probability iteration is introduced into the beetle antennae search algorithm to improve its global search ability and convergence speed. We combine this algorithm with Tactical Immune Maneuver system and the improved BAS-TIMS algorithm is applied into modern air combat maneuver decision-making. Finally, we give an example to simulate and prove the effectiveness by comparing BAS-TIMS with Game Theory, Improved symbiotic immune evolutionary algorithm, traditional BAS algorithm and traditional TIMS model. The simulation results show the improved BAS-TIMS algorithm has more advantages on convergence speed and accuracy and global search ability in air combat maneuver decision-making.