New Adaptation of the ACO Algorithm for the Analog Circuits Design Optimization
We propose a novel adaptation of the Ant Colony Optimization (ACO) Technique to optimize analog circuits sizing and design. The proposed algorithm is first tested and its performances are highlighted by using some mathematical test functions. This new adaptation of the ACO algorithm is then directly applied to optimize the design of typical analog circuits, namely CMOS current conveyors. SPICE simulation results are given to show the validity of the proposed algorithm.
Keywords: ACO, CMOS class AB CCII, Metaheuristic, test function.
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ABOUT THE AUTHORS
Bachir Benhala
Sidi Mohamed Ben Abdellah university, faculty of science and technology, Laboratory of signals, systems and component, Fes, Morocco
Ali Ahaitouf
Sidi Mohamed Ben Abdellah university, faculty of science and technology, Laboratory of signals, systems and component, Fes, Morocco
Mourad Fakhfakh
ENIS, University of Sfax, Tunisia
Abdellah Mechaqrane
Sidi Mohamed Ben Abdellah university, faculty of science and technology, Laboratory of signals, systems and component, Fes, Morocco
Bachir Benhala
Sidi Mohamed Ben Abdellah university, faculty of science and technology, Laboratory of signals, systems and component, Fes, Morocco
Ali Ahaitouf
Sidi Mohamed Ben Abdellah university, faculty of science and technology, Laboratory of signals, systems and component, Fes, Morocco
Mourad Fakhfakh
ENIS, University of Sfax, Tunisia
Abdellah Mechaqrane
Sidi Mohamed Ben Abdellah university, faculty of science and technology, Laboratory of signals, systems and component, Fes, Morocco