关键词: 多目标优化, 冗余目标减少, 数据拟合

Abstract: In the real-world applications，multi-objectives optimization involve a large number of objective，however，existing algorithms are only efficient to the problems with no more than three objectives.Because the inability to be represented in the Euclidean space as it is more than 3 objectives，and the high computation complexity，researchers fall to doing with how to transform large objectives to the smaller ones.In this paper，some existed algorithms on transforming high-dimensional to low-dimensional are introduced，and then a new algorithm is proposed.This method fits every objective function to a line，and compares the slope differences between each two lines，finally makes certain which one is redundancy and further reduces this one.

Key words: multi-objective optimization, reduce redundancy objective, data fitting