Digital IIR Filter Design Using a Differential Evolution Algorithm with Polar Coordinates

被引：3

作者：

Stubberud, Peter ^{[1
]}

机构：

[1] UNLV, Dept Elect & Comp Engn, Las Vegas, NV 89154 USA

来源：

2022 IEEE 12TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC) | 2022年

关键词：

Genetic algorithm; differential evolution; polar coordinates; elitist random selection; Taguchi crossover; averaging crossover; optimal IIR digital filter; optimization; infinity norm; GENETIC ALGORITHM; OPTIMIZATION; FIR;

D O I：

10.1109/CCWC54503.2022.9720786

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A differential evolution algorithm is presented that uses a combination of rectangular and polar coordinates. The algorithm was developed using thirteen commonly used numerical optimization test functions, including a spherical, three hyper-ellipsoid, the sum of different powers, Rastrigin's, Schwefel's, Griewank's, Rosenbrock's valley, Styblinski-Tang, Ackley's Path, Price-Rosenbrock, and Eggholder's functions. The algorithm was then applied to design a digital infinite impulse response (IIR) filter.

引用

页码：1029 / 1035

页数：7

共 29 条

[1]

Antoniou Andreas, 2018, Digital Filters: Analysis, Design, and Signal Processing Applications

[2] Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review [J].

Bonyadi, Mohammad Reza ;

Michalewicz, Zbigniew .

EVOLUTIONARY COMPUTATION, 2017, 25 (01) :1-54

[3]

Chen S, 2001, DIGIT SIGNAL PROCESS, V11, P241, DOI 10.1006/dspr.2001.0384

[4] SIMULTANEOUS DESIGN IN BOTH MAGNITUDE AND GROUP-DELAY OF IIR AND FIR FILTERS BASED ON MULTIPLE CRITERION OPTIMIZATION [J].

CORTELAZZO, G ;

LIGHTNER, MR .

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1984, 32 (05) :949-967

[5]

Goldberg D. E., 1989, GENETIC ALGORITHMS S

[6]

Karaboga D., 2005, Technical Report-TR06

[7] Digital IIR filter design using differential evolution algorithm [J].

Karaboga, N .

EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2005, 2005 (08) :1269-1276

[8] Designing digital IIR filters using ant colony optimisation algorithm [J].

Karaboga, N ;

Kalinli, A ;

Karaboga, D .

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2004, 17 (03) :301-309

[9]

Kuang D., 2005, 2005 IEEE C EVOLUTIO, V2, P1276

[10] An orthogonal genetic algorithm with quantization for global numerical optimization [J].

Leung, YW ;

Wang, YP .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2001, 5 (01) :41-53

← 1 2 3 →