要地防空阵地网低空补盲部署模型及优化

摘要

Medium-altit ude anti air weapons-based anti air network has large blind space to intercept low altitude targets. According the medium-altitude and low altitude anti air weapons’kill zone and air defense operation tactics,gap filling deployment optimization for the low altitude blind space is transformed to anti air fan-shaped deployment,mathematical model is established and terrain condition influence on anti air weapons where it is deployed and involved in the mathematical model. Memetic Algorithm (MA) that hybridize Genetic Algorithms (GAs) with Hill Climbing (HC) for solving this problem is provided. Experiments results show that the MAs perfume better and the method is feasible and effective.%以中高空防空武器为主构建的防空网对于防御低空突袭目标存在较大盲区，需要部署低空防空武器补充防御。根据中高空、低空防空武器杀伤区特性及防空阵地部署的战术需求，将低空补盲部署问题转化为扇形部署问题并结合阵地地形影响因素，建立了优化模型。应用基于遗传算法（GAs）和爬山算法（HC）分别作为全局搜索和局部搜索的memetic算法（MAs）对优化部署求解。最后应用仿真算例验证了提出的模型及应用的算法能够较好解决该工程问题。