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.

ISBN:978-1-4244-3896-9

Publication year:2009

BOF-keylabel:yes

IOF-keylabel:yes

Authors from:Higher Education

Accessibility:Open