The Design of Digital IIR Filters Using a Differential Evolution Optimization Algorithm with Taguchi Crossover
Document Type
Conference Proceeding
Publication Date
10-10-2019
Publication Title
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Publisher
Institute of Electrical and Electronics Engineers
Publisher Location
New York, NY
First page number:
462
Last page number:
468
Abstract
This paper presents a differential evolution algorithm that uses an elitist, ranking, random selection method and both two and three level Taguchi crossover. The algorithm is applied to 13 commonly used global numerical optimization test functions, including a spherical, three hyper-ellipsoid, the sum of different powers, Rastrigin's, Schwefel's, Griewank's, Rosen-brock's valley, Styblinski-Tang, Ackley's Path, Price-Rosenbrock, and Eggholder's functions. The algorithm is also used to design a number of optimal digital infinite impulse response (IIR) filters.
Keywords
Taguchi crossover; IIR digital filter; Optimimal; Infinity norm; Differential evolution; Genetic algorithm; Averaging crossover; Elitist; Random selection; Stochastic ranking selection
Disciplines
Electrical and Computer Engineering | Statistical Methodology | Statistics and Probability
Language
English
Repository Citation
Stubberud, P.
(2019).
The Design of Digital IIR Filters Using a Differential Evolution Optimization Algorithm with Taguchi Crossover.
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
462-468.
New York, NY: Institute of Electrical and Electronics Engineers.
http://dx.doi.org/10.1109/UEMCON47517.2019.8993041