基于多目标差分进化算法的海上雷达部署优化的仿真分析  

Simulation Analysis of the Deployment Optimization in Maritime Radar Based on Multi-Objective Differential Evolution Algorithm

作　　者：王君[1,2] 

机构地区：[1]中国电子科学研究院,北京100041 [2]电子科技大学,成都611731

出　　处：《现代计算机（中旬刊）》2016年第10期48-52,共5页Modern Computer

摘　　要：以最大化雷达组网静态覆盖能力与动态探测能力为优化目标,提出一种基于多目标差分进化算法的解决方案,并进行仿真实验。将优化部署的仿真结果与随机部署的仿真结果进行对比,对比结果表明,基于差分进化算法的部署优化方案具有较快的收敛速度,有效提高雷达组网的静态覆盖能力以及动态探测能力。Aiming at the objectives of maximizing the abilities of static coverage and dynamic detection of radar network, proposes and simulates a solution based on the multi-objective differential evolution algorithm. Through comparing the simulation result of optimal deployment with that of random deployment, it is found that the optimal deployment, which is based on differential evolution algorithm, has a faster convergence rate and is effective in improving the static coverage and dynamic detection of radar network.

关 键 词：优化部署 海上雷达 差分进化算法 多目标优化 

分 类 号：TN911.72[电子电信—通信与信息系统]