远缘选优策略遗传算法探测高空气象  

Aerological Detection with Outbreeding Elitist Genetic Algorithm

作　　者：李建保[1] 张铁[1] 

机构地区：[1]东北大学理学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2011年第10期1378-1381,共4页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(10771031)

摘　　要：针对高空气象探测数据变化规律复杂、突变情况不可预测、数据量大等特点,在分析远缘优质个体特点、加入辅助种群进化的基础上,提出远缘选优策略遗传算法(Outbreeding Elitist GA).应用远缘选优策略遗传算法确定节点矢量的B样条,拟合高空气象探测数据曲线.与标准遗传算法确定节点矢量的B样条拟合结果对比表明,远缘选优策略遗传算法有更强的搜索能力和更高的收敛速率.According to the characteristics of the large number and complex and unpredicted trend on change of the aerological detection data,the outbreeding elitist genetic algorithm（OEGA） was presented by analyzing the behaviors of outbreeding elitist and adding the evolution of slave population.The B-spline was calculated with OEGA to fit the aerological detection data curve.Compared with the result of the B-spline fitting with the simple genetic algorithm,the outbreeding elitist genetic algorithm has stronger searching ability and higher converging efficiency.

关 键 词：远缘优质个体 遗传算法 B样条 曲线拟合 高空气象探测 

分 类 号：O241.5[理学—计算数学]