火力与指挥控制Issue(8):74-77,4.
要地防空阵地网低空补盲部署模型及优化
Gap Filling Deployment Optimization for Low Altitude Blind Space of Anti Air Networks
摘要
Abstract
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.关键词
武器系统与运用工程/要地防空/低空补盲部署/部署及优化/memetic算法Key words
weapons system and application engineering/key-point air defense/gap filling deployment/deployment and optimization/memetic algorithm分类
数理科学引用本文复制引用
李相民,刘立佳,朱绍强,颜骥..要地防空阵地网低空补盲部署模型及优化[J].火力与指挥控制,2014,(8):74-77,4.基金项目
国防预研基金资助项目 ()