基于改进遗传算法的突防突击航线规划  被引量:2

Penetration Flight Planning Based on Improved Genetic Algorithm

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作  者:李涵 姚登凯 赵顾颢[1] Li Han;Yao Dengkai;Zhao Guhao(College of Air Traffic Control and Navigation,Air Force Engineering University,Xi'an 710051,China)

机构地区:[1]空军工程大学空管领航学院,西安710051

出  处:《航空工程进展》2018年第3期334-340,共7页Advances in Aeronautical Science and Engineering

基  金:国家自然科学基金(61601497);国家空管委课题(GKG201410005)

摘  要:歼轰机突防突击是当前航空兵有效的进攻手段之一。为了增加突防突击任务的安全性,提高突防突击任务的成功率,对航线上我方飞机的被击落概率进行建模,利用改进的遗传算法,以被击落概率为适应度函数,以个体与解空间的距离关系为罚函数,寻找最优解,最终得到被击落概率最小的航线;采用约束的最优保存策略进行选择,防止过早收敛,提出可变算术杂交算子,使得变异个体能够有较大概率落在解空间里。结果表明:通过150代的遗传操作,得到拐点为2时的被击落概率最小的航线为O(120.0,550.0)、A(226.2,495.7)、B(345.8,364.3)、T(330.0,180.0),被击落概率为0.019 3。The attack and strike of fighter planes is one of the effective means of attack for the current air force.In order to improve the safety of penetration flight,and to promote the probability of running task successfully,the probability model of our aircraft being shot down on the airway is built.By improved genetic algorithm,the probability of being shot down as fitness function,and the distance between an individual and solution space as punishment function,the best solution,i.e.the airway with minimum probability of aircraft being shot down,can be found.Constrained optimal save strategy is being used to prevent the solution from early convergence.Variable arithmetic hybrid operator can limit the individual in solution space.As the result,after 150 times performance,the best airway of flight can be gotten as O(120.0,550.0),A(226.2,495.7),B(345.8,364.3),T(330.0,180.0),whose probability of being shot down is 0.019 3.

关 键 词:突防突击航线 被击落概率 改进遗传算法 最优保存策略 可变杂交算子 

分 类 号:V271.4[航空宇航科学与技术—飞行器设计] TP391[自动化与计算机技术—计算机应用技术]

 

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