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PERFORMANCE COMPARISON BETWEEN COMPLEX NON-LINEAR LEAST SQUARES AND GENETIC ALGORITHMS IN IMPEDANCE CIRCUIT PARAMETER ESTIMATION

Janeiro, F. M. ; Ramos, P.M.

PERFORMANCE COMPARISON BETWEEN COMPLEX NON-LINEAR LEAST SQUARES AND GENETIC ALGORITHMS IN IMPEDANCE CIRCUIT PARAMETER ESTIMATION, Proc IMEKO World Congress, Prague, Czech Republic, Vol. 1, pp. TBD - TBD, September, 2015.

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Abstract
Electric circuit parameter estimation from its
impedance frequency response is becoming increasingly
important due to the wide range of applications that it finds
both in science and industry. This paper presents a
comparison of the performance of a genetic algorithm and
the complex non-linear least squares implemented in the
LEVM/LEVMW software in the estimation of impedance
circuit parameters. The comparison is focused on the
standard deviation of the estimated values, convergence rate
and execution time of each algorithm.