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This demo shows how to use multi-objective evolutionary algorithms for the optimum high-level design of ΣΔ analog-to-digital converters. The methodology illustrated in the demo is based on the combination of SIMSIDES, a SIMULINK-based time-domain behavioral simulator for ΣΔ modulators, with multi-objective optimization techniques. The proposed methodology allows designers to explore the design space...
This paper presents a high-level synthesis methodology based on the use of multi-objective evolutionary algorithms for the optimization of ΣΔ modulators. Compared to conventional approaches, the proposed method allows to explore a number of different design objectives simultaneously in the design space in order to find out the best sets of target specifications — defined as Pareto-optimal fronts....
In this work, a systematic technique to generate performance models of reconfigurable analog circuits is presented. The performance models are obtained in the form of multi-mode Pareto-optimal fronts (mm-PoFs), a new type of Pareto-optimal front (PoF) that characterizes the set of different performances that reconfigurable circuits can attain. The technique is based on the use of an evolutionary algorithm...
The use of Pareto-optimal performance fronts in emerging design methodologies for analog integrated circuits is a keystone to overcome the limitations of traditional design methodologies. However, most techniques to generate the fronts reported so far neglect the effect that the surrounding circuitry (such as the load impedance) has on the Pareto-front, thereby making it only realistic for the context...
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