TY - GEN
T1 - Performance of multi-parents genetic algorithms (MPGA) for IIR adaptive system identification
AU - Sun, G.
AU - Shao, X.
AU - Jenkins, William Kenneth
PY - 2015/9/28
Y1 - 2015/9/28
N2 - Genetic algorithms (GA) are based on principles of natural selection that originate in biology. The GA has been used for adaptive IIR system identification, but due to slow convergence rates and high computational complexity its use for IIR adaptive systems has been limited. This paper proposes a multi-parents genetic algorithm (MPGA) that is a generalization of the two-parents GA. Results demonstrate that the MPGA can improve convergence rates and maintain relatively low mean-square-errors (MSEs), although it requires increased computational complexity. An attempt to reduce computational complexity is presented and experiments illustrate how the MPGA operates on various digital filter structures.
AB - Genetic algorithms (GA) are based on principles of natural selection that originate in biology. The GA has been used for adaptive IIR system identification, but due to slow convergence rates and high computational complexity its use for IIR adaptive systems has been limited. This paper proposes a multi-parents genetic algorithm (MPGA) that is a generalization of the two-parents GA. Results demonstrate that the MPGA can improve convergence rates and maintain relatively low mean-square-errors (MSEs), although it requires increased computational complexity. An attempt to reduce computational complexity is presented and experiments illustrate how the MPGA operates on various digital filter structures.
UR - http://www.scopus.com/inward/record.url?scp=84962106940&partnerID=8YFLogxK
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U2 - 10.1109/MWSCAS.2015.7282100
DO - 10.1109/MWSCAS.2015.7282100
M3 - Conference contribution
AN - SCOPUS:84962106940
T3 - Midwest Symposium on Circuits and Systems
BT - IEEE 58th International Midwest Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2015
Y2 - 2 August 2015 through 5 August 2015
ER -