A high performances CMOS CCII and high frequency applications
Analog Integrated Circuits and Signal Processing
A hybrid genetic algorithm and bacterial foraging approach for global optimization
Information Sciences: an International Journal
Symbolic analysis of (MO)(I)CCI(II)(III)-based analog circuits
International Journal of Circuit Theory and Applications
A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation
IEEE Transactions on Evolutionary Computation
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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 (R"X) and maximize the high end cut-off frequency of the current signal (f"c"i). The results have been presented for a large selection of bias currents (I"0) 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.