基于遗传算法的飞机战术飞行动作决策

给出基于遗传算法的飞机战术飞行动作决策方法和算法，为提高算法的有效性，对遗传算法的操作算子进行了相应的改进，以期达到快速，准确地进行战术飞行运作的最佳化纵使决策的目的，双机空战仿真结果表明的遗传算法及其战术飞行动作决策方法的有效性。

On Improving Tactical Planning in Air Combat in P.R.China with Genetic Algorithm

Abstract: Traditional algorithms used in P.R.China are not very effective when used for tactical planning of air combat. We deem that genetic algorithm can be more effective and we are the first in P. R. China to apply it to tactical planning of air combat. We now present our research results which can improve tactical planning of air combat; moreover our research also includes improving genetic algorithm itself to make it more effective for our purpose. Section 1 discusses in much detail selection of objective function, which is the key to applying genetic algorithm to tactical planning of air combat. Section 2 discusses also in much detail the improvement of genetic algorithm. Section 3 gives a numerical simulation example involving two fighters. A large amount of simulation results is summarized in Fig. 6, which shows the variations of effective values for both enemy fighter and own fighter. Simulation results show preliminarily that our improved genetic algorithm is indeed effective.