Multicriterial Fractional Optimization

At rst we introduce di erent solution concepts for general vector optimization problems and summarize some relations between them Further we apply these solution concepts to vectorial fractional opti mization problems and show that the well known Dinkelbach transfor mation can be generalized in the sense that even in vector optimiza tion exact as well as approximate solutions for the original problem and for the transformed one are closely related Finally we discuss possibilities to handle the transformed vector optimization problem by means of parametric optimization