• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 22 Issue 6
Mar.  2010
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Article Contents
DAI Chao-Hua, CHEN Wei-Rong, SHU Yun-Fang, ZHENG Yong-Kang, LI Ai, . IIR Digital Filter Design via Seeker Optimization Algorithm[J]. Journal of Southwest Jiaotong University, 2009, 22(6): 871-876.
Citation: DAI Chao-Hua, CHEN Wei-Rong, SHU Yun-Fang, ZHENG Yong-Kang, LI Ai, . IIR Digital Filter Design via Seeker Optimization Algorithm[J]. Journal of Southwest Jiaotong University, 2009, 22(6): 871-876.

IIR Digital Filter Design via Seeker Optimization Algorithm

  • Received Date: 02 Aug 2007
  • Publish Date: 20 Jan 2010
  • To further improve the performances of infinite impulse response(IIR) digital filters,a new approach based on the seeker optimization algorithm(SOA) was proposed for IIR digital filter design.The SOA is aimed to simulate the random action in human searching behaviors for solving an optimization problem through the update of seekers’ positions.In the algorithm,the search direction is determined by the empirical gradients based on evaluating the responses to the changes of the seekers’ positions,and the step length is decided by uncertainty reasoning based on a simple fuzzy rule.The performance of the SOA was investigated by two typical cases of IIR digital filter design.The simulation results show that compared with the differential evolution(DE) and three modified particle swarm optimization(PSO) algorithms,the proposed approach has both a good global search ability and a fast convergence speed,as a result,the SOA can be efficiently used for the design of IIR digital filters.

     

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