Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
An evolutionary approach to automatic synthesis of high-performance analog integrated circuits
IEEE Transactions on Evolutionary Computation
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In this paper an innovative fuzzy-genetic approach is proposed to address the problem of analog circuit sizing. The proposed approach introduces a fuzzy mutation operator which models expert design knowledge and this way not only avoids local minima but also reduces the search dynamically the space. The proposed approach is compared against a state-of-the art genetic approach, for the optimal operational amplifier sizing, and presents a faster convergence rate.