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A fuzzy selection based constraint handling method for multi-objective optimization of analog cells

In this paper, a constraint handling technique for multi-objective optimization of analog cells is presented. Selection-based constraint handling and fuzzy membership functions are combined to construct a new constraint handling method, multi-objective fuzzy selection (MOFS). This is integrated with multi-objective sizing, which has the following two advantages: (1) enhances the effectiveness and efficiency of handling specifications distinctly; (2) specializes in solving multi-objective analog sizing problems mimicking the designer's interactive design process, avoiding inflexibility of crisp constraint sizing methods.