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Seeker optimization algorithm for digital IIR filter design / Dai, Chaohua in IEEE transactions on industrial electronics, Vol. 57 N° 5 (Mai 2010) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 57 N° 5 (Mai 2010) . - pp. 1710 - 1718 Titre : Seeker optimization algorithm for digital IIR filter design Type de document : texte imprimé Auteurs : Dai, Chaohua, Auteur ; Chen, Weirong, Auteur ; Zhu, Yunfang, Auteur Année de publication : 2011 Article en page(s) : pp. 1710 - 1718 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Digital  infinite-impulse-response  (IIR)  Filter  design  Global  optimization  Heuristics  Seeker  optimization  algorithm  (SOA)  System  identification Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Since the error surface of digital infinite-impulse-response (IIR) filters is generally nonlinear and multimodal, global optimization techniques are required in order to avoid local minima. In this paper, a seeker-optimization-algorithm (SOA)-based evolutionary method is proposed for digital IIR filter design. SOA is based on the concept of simulating the act of human searching in which the search direction is based on the empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. The algorithm's performance is studied with comparison of three versions of differential evolution algorithms, four versions of particle swarm optimization algorithms, and genetic algorithm. The simulation results show that SOA is superior or comparable to the other algorithms for the employed examples and can be efficiently used for IIR filter design. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5229209 [article] Seeker optimization algorithm for digital IIR filter design [texte imprimé] / Dai, Chaohua, Auteur ; Chen, Weirong, Auteur ; Zhu, Yunfang, Auteur . - 2011 . - pp. 1710 - 1718. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 57 N° 5 (Mai 2010) . - pp. 1710 - 1718 Mots-clés : Digital  infinite-impulse-response  (IIR)  Filter  design  Global  optimization  Heuristics  Seeker  optimization  algorithm  (SOA)  System  identification Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Since the error surface of digital infinite-impulse-response (IIR) filters is generally nonlinear and multimodal, global optimization techniques are required in order to avoid local minima. In this paper, a seeker-optimization-algorithm (SOA)-based evolutionary method is proposed for digital IIR filter design. SOA is based on the concept of simulating the act of human searching in which the search direction is based on the empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. The algorithm's performance is studied with comparison of three versions of differential evolution algorithms, four versions of particle swarm optimization algorithms, and genetic algorithm. The simulation results show that SOA is superior or comparable to the other algorithms for the employed examples and can be efficiently used for IIR filter design. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5229209