Abstract: The Pareto optimal-based multi-objective evolutionary algorithm which is used to deal with multi-objective optimization problems has become a hot research topic.In this paper，some state-of-the-art algorithms in this research field are described firstly.Then，strategies adopted by various kinds of algorithms about finding the non-dominated set of solutions and distribute them uniformly in the Pareto front are elaborated.Lastly，several research points of performance evaluation which need to be further study are summarized.