遗传算法在低空突防中的应用

针对在飞机低空突防航路规划中存在的计算复杂和收敛性等问题,论述了遗传算法基本原理,分析航路优化的性能指标。将遗传算法应用到航路规划中,航路进行染色体编码,根据随机数产生初始种群,适应度函数的大小进行选择、交叉和变异操作,达到算法终止条件后输出最优航路。仿真结果表明,应用改进的遗传算法规划的最优航线可以有效回避威胁和地形。

Application of Genetic Algorithm in Low Altitude Penetration

Considering the calculation complexity and convergence in low altitude penetration route planning of helicopter,the basic principle of genetic algorithm is introduced,the performance specifications of route optimization are analyzed.The genetic algorithm is applied to route planning,and chromosome coding of route is performed.The initial population is generated according to the random function,and according to the size of the fitness function,selection,crossover and mutation are conducted.The optimal route is exported when the algorithm termination condition is met.Simulation result shows that the optimal route planned by using the improved genetic algorithm can effectively avoid threats and terrain.