Benhala, B. (2016) An improved aco algorithm for the analog circuits design optimization. International Journal of Circuits, Systems and Signal Processing, 10. pp. 126-133.

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Sizing analog circuits is a complicated and delicate process activity and time consuming task in the entire design, generally based on the experience of the designer. Ant Colony Optimization (ACO) had been recently proposed and successfully applied for finding the optimal performance of analog circuits and hence the transistors sizes for the integrated circuit design. However, this algorithm needs an intensive execution time to converge toward optimal solutions. To improve the speed and even the efficiency of the algorithm, the concept of backtracking search is combined with the ACO algorithm. The performances of the improved ACO algorithm, named BA-ACO, are highlighted through the optimal design of a two stage Operational Amplifier (Op-Amp) and an Operational Transconductance Amplifier (OTA). SPICE simulation results are given to show the validity of the proposed algorithm. © 2016, North Atlantic University Union. All rights Reserved.

Item Type: Article
Uncontrolled Keywords: Algorithms; Amplifiers (electronic); Analog circuits; Ant colony optimization; Artificial intelligence; Design; Integrated circuit manufacture; Operational amplifiers; Optimal systems; Reconfigurable hardware; SPICE, Analog design; Ant Colony Optimization (ACO); Backtracking search; Design optimization; Metaheuristic; Optimal performance; Time-consuming tasks; Two-stage operational amplifiers, Optimization
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46

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