numerical examination meaning in Chinese

数值检验

In this paper , an improved genetic algorithm ( ga ) was applied to the design of high performance e - plane waveguide filters at the first time . for dealing with the shortcoming of ga as low efficiency in local optimum searching , the idea based on parallel genetic algorithm ( pga ) known as separate local optimization was presented . by separating the whole population into sub - populations , and adding a new operator known as crossover between two sub - population , the new method can provide as 2 3 times quickly as traditional ga . all numerical examinations illustrated the high convergence speed and good global searching of the new algorithm , and proved the validity of it
由于遗传算法表现出良好的全局搜索性能，因此本文将其应用于高性能e面波导滤波器的设计中.针对传统遗传算法所存在的局部搜索能力差的缺点，本文在并行遗传算法的基础上，通过将原有群体划分为多个子群体，利用多个子群进行局部极值点的搜索，并利用群间迁徙，使改进后的算法收敛速度平均提高了2 3倍.数值实验表明算法具有较快的收敛速度和较好的全局搜索性能，证明了算法的有效性