DocumentCode :
2522597
Title :
Improving switched current memory cells, performances via the Particle Swarm Optimization technique
Author :
Fakhfakh, M. ; Masmoudi, S. ; Cooren, Y. ; Loulou, M. ; Siarry, P.
Author_Institution :
Univ. of Sfax, Sfax, Tunisia
fYear :
2009
fDate :
21-25 Oct. 2009
Firstpage :
155
Lastpage :
159
Abstract :
This brief paper deals with using the particle swarm optimization metaheuristic for optimally sizing switched current (SI) memory cells, namely the class AB grounded gate SI memory cell. Pareto front is generated while optimizing two main conflicting performances: maximizing both the signal to noise ratio and the sampling frequency. SPICE simulation results are presented to validate obtained sizing.
Keywords :
Pareto optimisation; circuit optimisation; logic circuits; particle swarm optimisation; switched current circuits; SI memory cell; SPICE simulation; particle swarm optimization; sampling frequency; signal to noise ratio; switched current memory cell; Computer crime; Databases; Distributed computing; Filtering; Information science; Information security; Internet; Particle swarm optimization; Pollution; Protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Intelligent Informatics, 2009. ISCIII '09. 4th International Symposium on
Conference_Location :
Luxor
Print_ISBN :
978-1-4244-5380-1
Electronic_ISBN :
978-1-4244-5382-5
Type :
conf
DOI :
10.1109/ISCIII.2009.5342262
Filename :
5342262
Link To Document :
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