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A design method in CMOS analog circuit optimization based on an adaptive genetic algorithm. (Chinese. English summary) Zbl 1249.94074

Summary: A new method for optimizing the parameters of a CMOS operational amplifier based on an adaptive GA (genetic algorithm) is presented in order to solve the difficulty caused by parameter optimization in analog circuit design. The main advantage of the method is that the problems of convergence and multiple objective optimization tasks can be solved through combining the useful features of manual analog circuit design, and adjusting the GA with the evolution process. Operational amplifiers for different uses can also be developed depending on various performance specifications. The simulation results show that this method can accurately achieve high DC-gain, high bandwidth, low noise, and low power operational amplification, and it efficiently compares with other optimizing methods having the same circuit structure. The method is suitable for CMOS analog circuit optimization. Because it is based on the simulation results of Hspice, it is much more similar to actual circuit design and therefore more useful.

MSC:

94C05 Analytic circuit theory
90C59 Approximation methods and heuristics in mathematical programming
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