The algorithm selection problem can be considered as a learning task. Therefore, the framework of algorithm selection based on meta-learning is analyzed firstly. Then the algorithm selection based on meta-learning is classified and summarized from the viewpoint of characteristics of data set and meta-algorithm. Finally, the problems of algorithm selection based on meta-learning are analyzed, and the develop directions are proposed in the future.