Analog circuit design optimization through the particle swarm optimization technique |
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Authors: | Mourad Fakhfakh Yann Cooren Amin Sallem Mourad Loulou Patrick Siarry |
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Affiliation: | (1) University of Sfax, B.P. 1069, Sfax, 3018, Tunisia;(2) University of Paris 12, Creteil Cedex, France |
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Abstract: | This paper details the Particle Swarm Optimization (PSO) technique for the optimal design of analog circuits. It is shown the practical suitability of PSO to solve both mono-objective and multiobjective discrete optimization problems. Two application examples are presented: maximizing the voltage gain of a low noise amplifier for the UMTS standard and computing the Pareto front of a bi-objective problem, maximizing the high current cut off frequency and minimizing the parasitic input resistance of a second generation current conveyor. The aptness of PSO to optimize difficult circuit problems, in terms of numbers of parameters and constraints, is shown. |
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