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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Analog circuit design optimization through the particle swarm optimization technique
Analog Integrated Circuits and Signal Processing, Volume 63, No. 1, Year 2010
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Description
This paper details the Particle Swarm Optimization (PSO) technique for the optimal design of analog circuits. It is shown the practical suitability of PSO to solve both mono-objective and multiobjective discrete optimization problems. Two application examples are presented: maximizing the voltage gain of a low noise amplifier for the UMTS standard and computing the Pareto front of a bi-objective problem, maximizing the high current cut off frequency and minimizing the parasitic input resistance of a second generation current conveyor. The aptness of PSO to optimize difficult circuit problems, in terms of numbers of parameters and constraints, is shown. © 2009 Springer Science+Business Media, LLC.
Authors & Co-Authors
Fakhfakh, Mourad
Tunisia, Sfax
University of Sfax
Cooren, Yann
France, Creteil
Université Paris-est Créteil Val de Marne
Sallem, Amin
Tunisia, Sfax
University of Sfax
Loulou, M.
Tunisia, Sfax
University of Sfax
Siarry, Patrick
France, Creteil
Université Paris-est Créteil Val de Marne
Statistics
Citations: 172
Authors: 5
Affiliations: 2
Identifiers
Doi:
10.1007/s10470-009-9361-3
e-ISSN:
15731979