TY - GEN
T1 - Effectiveness of the bio-inspired firefly algorithm in adaptive signal processing for nonlinear systems
AU - Hussain, M.
AU - Jenkins, William Kenneth
N1 - Publisher Copyright:
© 2019 IEEE
PY - 2019
Y1 - 2019
N2 - In this paper the performance of the Genetic Algorithm (GA), the Particle Swarm Optimization (PSO) algorithm, the Modified Particle Swarm Optimization (MPSO) algorithm, and the Lévy Flight Firefly Algorithm (LFFA) are compared for system identification with various types of nonlinear systems. When performing system identification with Volterra nonlinear adaptive structures, matched-order fixed-nonlinearity LNL filter structures, reduced-order adaptable-nonlinearity LNL filter structures and neural networks the LFFA generally demonstrates faster convergence rates and lower minimum mean square errors (MMSE) compared to the GA, PSO, and MPSO algorithms. This work includes performance comparisons of these algorithms when applied to nonlinear system identification.
AB - In this paper the performance of the Genetic Algorithm (GA), the Particle Swarm Optimization (PSO) algorithm, the Modified Particle Swarm Optimization (MPSO) algorithm, and the Lévy Flight Firefly Algorithm (LFFA) are compared for system identification with various types of nonlinear systems. When performing system identification with Volterra nonlinear adaptive structures, matched-order fixed-nonlinearity LNL filter structures, reduced-order adaptable-nonlinearity LNL filter structures and neural networks the LFFA generally demonstrates faster convergence rates and lower minimum mean square errors (MMSE) compared to the GA, PSO, and MPSO algorithms. This work includes performance comparisons of these algorithms when applied to nonlinear system identification.
UR - http://www.scopus.com/inward/record.url?scp=85066779763&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066779763&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2019.8702083
DO - 10.1109/ISCAS.2019.8702083
M3 - Conference contribution
AN - SCOPUS:85066779763
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
Y2 - 26 May 2019 through 29 May 2019
ER -