Interactive Evaluation of FRP Satisfactory Fishing Vessel Type Using Preference-Weight Genetic Algorithm

This paper indicated an inactive preference-weight method for Genetic Algorithm (GA), which can turn the individual´s preference into weight preference in the multi criterion satisfactory optimization. DM can use the preference-weight to rebuild the fitness function, and according to binary relations of sample points based on the information of DM´s preference, inactively modifies the evolution direction of GA. The proposed method can avoid using fuzzy comprehensive evaluation or linear weighted evaluation in traditional Economic and technological evaluation for Fishing Vessel Type. A FRP design case is shown that the method is of the effectiveness and availability.