The invention provides an EA (Evolutionary Algorithm)-based English text clustering method. The EA-based English text clustering method comprises the steps of firstly preprocessing English texts into vector space models, and then proceeding a clustering process, wherein the clustering process comprises the steps of step one, randomly selecting n clustering centers, carrying out clustering division on the clustering centers by utilizing Euclidean distance, enabling texts in the same type to be classified in the same cluster, and thus completing and obtaining local optimum clustering division; step two, carrying out EA processing, selecting clustering centers of a new generation by using an alliance thought and a gene crossover mutation process, carrying out the clustering division through an inter-text closet distance principle, and thus achieving global optimum. According to the EA-based English text clustering method provided by the invention, the English text can be effectively clustered, unnecessary clustering results can be removed, and thus a clustering process can be more quickly converged.