Article ID Journal Published Year Pages File Type
542236 Microelectronics Journal 2010 11 Pages PDF
Abstract
The present paper deals with the optimal sizing of CMOS positive second-generation current conveyors (CCII+) employing an optimization algorithm. A contemporary non-gradient stochastic optimization algorithm, called bacterial foraging optimization (BFO) algorithm, has been employed to obtain the optimal physical dimensions of the constituent PMOS and NMOS transistors of the CCII+. The optimization problem has been cast as a bi-objective minimization problem, where we attempt to simultaneously minimize the parasitic X-port input resistance (RX) and maximize the high end cut-off frequency of the current signal (fci). The results have been presented for a large selection of bias currents (I0) and our proposed algorithm could largely outperform a similar algorithm, recently proposed, employing particle swarm optimization (PSO) algorithm and also the differential evolution (DE) algorithm.
Related Topics
Physical Sciences and Engineering Computer Science Hardware and Architecture
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