摘要
提出了一种基于自适应遗传算法的雷达组网优化方法,建立了雷达组网优化的数学模型,给出自适应遗传算法的求解过程和步骤,并设计了既考虑到进化代数对算法影响,又考虑到每代中不同个体适应度对算法作用的自适应交叉概率和变异概率。仿真实例表明该方法能够快速得出多种优化部署方案,操作性强,对雷达组网优化有较大应用价值。
An optimal disposition method based on adaptive genetic algorithm（AGA） is presented for radar netting.A mathematical model for radar optimal disposition is established according to the analysis of regional radar netting at the beginning.And then,the solving process of AGA for this optimization problem is discussed.The adaptive crossover probability and adaptive mutation probability are proposed,which consider the influence of evolution generation to the algorithm and the effect individual fitness in each generation.Finally,with an example,it comes to a conclusion that several optimal deployments of radar networks can be obtained much more quickly by this method with better operability.
出处
《电子信息对抗技术》
2013年第4期34-38,共5页
Electronic Information Warfare Technology
基金
国家自然科学基金资助项目(60974091)
关键词
自适应遗传算法
雷达组网
优化部署
多约束条件
交叉概率
变异概率
adaptive genetic algorithm
radar network
optimal deployment
multi-constraint
crossover probability
mutation probability
