Design of Analog Integrated Circuits by Using Genetic Algorithm
ICCEA '10 Proceedings of the 2010 Second International Conference on Computer Engineering and Applications - Volume 01
A double-layer genetic algorithm for Gm-C filter design
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
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An illustration of an automatic design optimization method for symmetric OTA is presented in this paper. Our approach exploits the advantages of a real multiobjective optimization based on Genetic Algorithms. The circuit performance is determined by invoking an external circuit simulator, and used to evaluate the objective functions. The final equally feasible solutions, located on the Pareto front, reveal the trade-offs between conflicting design specifications, allowing the designer to make his own decision, when choosing the final design solution.