Parameter Settings of Genetic Algorithm Based on Multi-Factor Analysis of Variance

Six primary factors have been analyzed which influence the performance of the Genetic Algorithm. The concrete method has been designed of setting algorithm parameters by using multi-factor analysis of variance. And it illustrates the implementation process of the methods by specific examples of applications. In the end with the data gained from the experiment it has proved that the performance of the algorithm can be markedly improve after setting algorithm parameters by using the analysis of variance.