摘要
针对多约束条件下的协同优化问题,设计了一种结合改进粒子群和遗传算法的新方法,用于优化多雷达的布阵方位。该方法通过预分配协同关系,形成数值关系,将组合优化问题与数值优化问题结合,达到两者的协同优化,该方法结合遗传算法的全域搜索能力和粒子群算法的局域搜索能力,有效减小搜索空间。通过仿真实验,验证了该方法的有效性。
A new method combining improved particle swarm and genetic algorithms is designed to optimize the array orienta-tion of multiple radars for the co-optimization problem under multiple constraints.This method forms a numerical relationship by pre allocating the collaborative relationship,and combines the combinatorial optimization problem with the numerical optimization problem to achieve the collaborative optimization of the two.This method combines the global search ability of genetic algorithm and the local search ability of particle swarm optimization algorithm to effectively reduce the search space.The effectiveness of this method is verified by simulation experiments.
作者
雷印杰
蒲明锋
杨友波
唐俊
顾杰
Lei Yinjie;Pu Mingfeng;Yang Youbo;Tang Jun;Gu Jie(College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China;The 29th Research Institute of CETC,Chengdu 610036,China)
出处
《现代计算机》
2023年第19期7-11,共5页
Modern Computer
关键词
粒子群算法
遗传算法
协同布阵
组合优化
数值优化
particle swarm optimization
genetic algorithm
collaborative array arrangement
combinatorial optimization
numerical optimization
