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Multi-objective optimization of second generation current conveyors by the ACO technique

Authors: Bachir Benhala; Ali Ahaitouf; Abdellah Mechaqrane; Brahim Benlahbib;

Multi-objective optimization of second generation current conveyors by the ACO technique

Abstract

A multi-objective optimization algorithm, based on the Ant Colony Optimization technique (MOACO), to deal with the transistor sizing of CMOS Current Conveyors is presented. The main objectives are a minimal parasitic X-port resistance Rx and a maximal current high cut off frequency fci. A pareto front is then generated and the optimal solutions were adopted. SPICE simulation are used to validate the obtained sizing/performances, and comparison with published works are highlighted.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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