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.
|Title of host publication
|IEEE 58th International Midwest Symposium on Circuits and Systems
|Subtitle of host publication
|Climbing to New Heights, MWSCAS 2015 - Conference Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Published - Sep 28 2015
|58th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2015 - Fort Collins, United States
Duration: Aug 2 2015 → Aug 5 2015
|Midwest Symposium on Circuits and Systems
|58th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2015
|8/2/15 → 8/5/15
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering