Evolutionary algorithm is a new kind of effective algorithms for very complex nonlinear programming problems.However

the amount of their computation is often large.To reduce the amount of the computation and make the algorithms more effective

the uniform design is used to design new effective evolution operator.The new evolution operator has the local-search property similar to that in traditional optimization techniques

thus it can generate a diversity of population and explore the search space effectively with little computation.Moreover

the new algorithm is globally convergent.The numerical results also show the effectiveness of the new algorithm with its less computation

higher convergent speed for all test functions.