远缘选优策略遗传算法在高空气象探测中的应用(英文)

Application of the Outbreeding Elitist Adaptive Genetic Algorithm in High Meteorological Detection

在分析远缘优质个体的特点和对从属种群优化的基础上,提出了远缘选优策略遗传算法(OEAGA),并且针对高空气象探测数据数量大、变化复杂和可预测性差等特点,使用OEAGA来计算B样条节点,在满足准确度要求的前提下,使用更少的控制顶点拟合高空气象探测数据的最佳B样条曲线.将B样条曲线的结果与标准演变算法计算节点的结果作比较,发现经由OEAGA得出的B样条曲线更优,实际探测和仿真试验均表明OEAGA拥有更强大的搜索性能和更高的收敛效果.

On the basis of analyzing the feature of the outbreeding elitist and adding the evolution of slave population,the outbreeding elitist adaptive genetic algorithm(OEAGA) is presented,and in according with the characteristics of the huge amounts,complicated and unpredicted change of the high meteorological detecting data,the OEAGA is utilized to compute the B-spline knots so that the optimal B-spline curve which is fitting the high meteorological detecting data curve under the accuracy requirement,can possess less control vertexes.Compared with the result of the B-spline curve with the standard genetic algorithm to compute knots,the B-spline curve with the OEAGA is better,and experiments indicate that the OEAGA has stronger searching performance and higher converging efficiency.