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Parameter extraction for PSP MOSFET model using hierarchical particle swarm optimization

DSpace at IIT Bombay

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Title Parameter extraction for PSP MOSFET model using hierarchical particle swarm optimization
 
Creator THAKKER, RA
PATIL, MB
ANIL, KG
 
Subject genetic algorithm
design
mosfet parameter extraction
particle swarm optimization
hierarchical particle swarm optimization
memory loss
local search
adaptive inertia
psp mosfet model
genetic algorithm
 
Description The particle swarm optimization (PSO) algorithm is applied to the problem of MOSFET parameter extraction for the first time. It is shown to perform significantly better than the genetic algorithm (GA). Several modifications of the basic PSO algorithm have been implemented: (a) Hierarchical PSO (HPSO) in which particles are hierarchically arranged and influenced by the positions of the local and global leaders, (b) memory loss operation due to which a particle forgets its past best position, (c) intensive local search in which the solution space around the global leader is searched with a high resolution, and (d) adaptive inertia which causes the inertia of the particles to change adaptively, depending on the fitness of the population. It is demonstrated that the above features improve the performance of the basic PSO algorithm both for the MOSFET parameter extraction problem and for benchmark functions. (C) 2008
 
Publisher PERGAMON-ELSEVIER SCIENCE LTD
 
Date 2011-08-25T21:35:57Z
2011-12-26T12:57:14Z
2011-12-27T05:47:12Z
2011-08-25T21:35:57Z
2011-12-26T12:57:14Z
2011-12-27T05:47:12Z
2009
 
Type Article
 
Identifier ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 22(2), 317-328
0952-1976
http://dx.doi.org/10.1016/j.engappai.2008.07.001
http://dspace.library.iitb.ac.in/xmlui/handle/10054/11153
http://hdl.handle.net/10054/11153
 
Language en