Abstract: In this paper evolutionary algorithms based on probabilistic models are studied, which are new evolutionary algorithms proposed recently. After introducing the origin and the principles of these algorithms, they are classified according to the complexity of the models used. Each class of the new algorithms are briefly described and the computing methods and their performance are discussed. The future directions and some of the researching problems are also addressed.