基于动态规划遗传算法的防空部署优化模型

随着高新武器的研制和投入使用,战场环境变得越来越复杂,正确有效地进行防空部署成为防空作战的难点问题。从进攻方的角度分析影响要地防空部署的主要因素,提出将动态规划算法用于求解攻击最小危险航线,并将其融入遗传算法的适应度函数,得到一种基于动态规划 遗传算法的防空部署优化模型。该模型可对要地防空部署进行优化,能够得到基于进攻方的最优部署方案。实验结果表明,该模型是有效可行的,为防空作战中指挥人员实施战前部署提供参考和借鉴

Optimization model of air defense disposition based on dynamic programming and genetic algorithm#br#

With the development and application of high-tech weapons, the battlefield environment becomes more and more complex. Deploying the air defense correctly and effectively becomes a difficult problem in air defense operations. In this paper, it is analyzed from the point of the attacker about the main factors which affect the air defense disposition, then the dynamic programming algorithm is proposed to solve the minimum dangerous attack route, besides, it is integrated into the fitness function of the genetic algorithm. Consequently, an optimization model of air defense deployment based on dynamic programming and the genetic algorithm is obtained. This model can optimize the air defense deployment and can obtain the best deployment plan based on the attacker. The experimental results show that the model is effective and feasible and provides reference for commanders about deploying in air defense operation.