An Evolutionary Multiobjective Optimization Algorithm Based on Fuzzy Preferences
Guan Chen Zhi · Journal of Tianjin University Science and Technology · 2002
Despite the relatively high volume of research conducted on evolutionary multiobjective optimization in the last few years,little attention has been paid to the decision making process that is required to select a final solution to the multiobjective optimization problem at hand.Most algorithms give a set of solutions but few of them give any analyzing on these solutions which makes it difficult to chooses for the decision maker.In other words,the optimization solutions do not do as they should to help the decision maker.This paper describes a new fuzzy preference method and the successful integration with genetic algorithm by which the decision maker can decide the weights of the different objectives at the beginning of the optimization,by comparing with NSGA Ⅱ,the solutions can give more useful to the decision maker.