In MOEAs based on user-preference

reference point is most commonly used to express the preference information

but the position of reference point has detrimental effect on the performance of algorithms.According to this issue

this paper proposes MOEA/D-PRE that combines MOEA/D with preference information and alternate weight method.This algorithm applies the alternate weight method to map the region of interest of the decision maker

which can avoid the influence of the reference point

and the model is easy for the decision maker to adjust the size of preference region.Experimental results show that this approach has much better performance.Moreover

this paper proposes different models to satisfy different demands of the decision maker

which has provided a new way to solve MOPs based on preference information and especially to tackle the effect of reference point.