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Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2018.1541643

IIR filter optimization using improved chaotic harmony search algorithm

Mehrnoosh Shafaati ; Electrical Engineering Department, Faculty of Engineering, University of Guilan, Rasht, Iran
Hamed Mojallali ; Electrical Engineering Department, Faculty of Engineering, University of Guilan, Rasht, Iran

Puni tekst: engleski, pdf (2 MB) str. 331-339 preuzimanja: 124* citiraj
APA 6th Edition
Shafaati, M. i Mojallali, H. (2018). IIR filter optimization using improved chaotic harmony search algorithm. Automatika, 59 (3-4), 331-339. https://doi.org/10.1080/00051144.2018.1541643
MLA 8th Edition
Shafaati, Mehrnoosh i Hamed Mojallali. "IIR filter optimization using improved chaotic harmony search algorithm." Automatika, vol. 59, br. 3-4, 2018, str. 331-339. https://doi.org/10.1080/00051144.2018.1541643. Citirano 29.09.2020.
Chicago 17th Edition
Shafaati, Mehrnoosh i Hamed Mojallali. "IIR filter optimization using improved chaotic harmony search algorithm." Automatika 59, br. 3-4 (2018): 331-339. https://doi.org/10.1080/00051144.2018.1541643
Harvard
Shafaati, M., i Mojallali, H. (2018). 'IIR filter optimization using improved chaotic harmony search algorithm', Automatika, 59(3-4), str. 331-339. https://doi.org/10.1080/00051144.2018.1541643
Vancouver
Shafaati M, Mojallali H. IIR filter optimization using improved chaotic harmony search algorithm. Automatika [Internet]. 2018 [pristupljeno 29.09.2020.];59(3-4):331-339. https://doi.org/10.1080/00051144.2018.1541643
IEEE
M. Shafaati i H. Mojallali, "IIR filter optimization using improved chaotic harmony search algorithm", Automatika, vol.59, br. 3-4, str. 331-339, 2018. [Online]. https://doi.org/10.1080/00051144.2018.1541643

Sažetak
Due to the fact that the error surface of adaptive infinite impulse response (IIR) systems is generally nonlinear and multimodal, conventional derivative-based techniques fail when used in
adaptive Filter design. In this sense, global optimization techniques are required in order to avoid local minima. Harmony search (HS), a musical inspired metaheuristic, is a recently introduced population-based algorithm that has been successfully applied to global optimization
problems. In the present paper, adaptive IIR filtering is formulated as a nonlinear optimization problem and then an improved version of HS incorporating chaotic search (CIHS) is introduced to solve the identification problem of three benchmark IIR systems. Furthermore, the performance of the proposed methodology is compared with HS and two well-known metaheuristic algorithms, genetic algorithm (GA) and particle swarm optimization (PSO) and a modified version of PSO called PSOW (Particle Swarm Optimization with weight Factor). The results demonstrate that the proposed method has superior performance over the other above-mentioned algorithms in terms of convergence speed and accuracy

Ključne riječi
System identification; IIR filter; adaptive filtering; chaos; harmony search

Hrčak ID: 225208

URI
https://hrcak.srce.hr/225208

Posjeta: 203 *