The decision maker(DM)usually is only interested in small part of Pareto optimal solutions in the actual multi-objective optimization.However

the traditional multi-objective optimization algorithms pay more attention to the entire surface of the Pareto optimal solution set which need to spend large amount of computation time on the futile solutions search and the Decision Maker is difficult to select their preferred solutions from numerous solutions(especially when the problem's object is greater than 3).Therefore

this paper proposed a preference multi-objective evolutionary algorithm which is based on the angle information of individuals.This method could priority retain these individuals which is closer to the DM's preference region by redefining the domination relation and crowding distance of individuals

then the population will be guided to the DM's preference region.