Aimed at the problems that the deployment of ground-based anti-aircraft fire interception equip-ment is slow at speed and the deployment scheme does not conform to the actual environment of the battle-field,a deployment method of ground-based air defense intercept systems by using simplified artificial bee colony algorithm is proposed.In this method,in the process of formulating the deployment scheme of ground-based anti-aircraft fire interception equipment,the artificial bee colony algorithm is divided into an initialization stage and an optimization stage.In perspective of expert knowledge assistance,the initializa-tion stage is intended to utilize the expert knowledge for optimizing the deployable location in combination with random initialization,and the optimization stage is intended to utilize the simplified neighborhood op-timization for optimizing the scheme generated in the initialization stage.The resulting deployment scheme is verified in both stages,and the output is directly saved if the scheme reaches the given penetration prob-ability index,greatly improving the convergence speed,and the resulted deployment scheme is realistic.The simulation results show that the proposed method has obvious advantages over the traditional bee col-ony algorithm at convergence speed,and can conform well to the battlefield environment.
关键词
人工蜂群算法/火力拦截设备部署/地面防空/突防概率
Key words
artificial bee colony(ABC)algorithm/fire interception equipment deployment/ground-based air defense/penetration probability
维普
万方数据