Design and optimization of IIR filter structure using hierarchical genetic algorithms

Kit-Sang TANG, Kim-Fung MAN, Sam KWONG, Zhi-Feng LIU

Research output: Journal PublicationsJournal Article (refereed)peer-review

112 Citations (Scopus)


A new genetic algorithm (GA) is proposed for digital filtering design. This scheme utilizes a new hierarchical multilayer gene structure for the chromosome formulation. This is a unique structure, which retains the conventional genetic operations, while the genes may take various forms to represent the system characteristics. As a result, both the system structure and the parametric variables can be optimized in a simultaneous manner, without extra computational cost and effort. It has been demonstrated that this technique not only fulfills all types of filter performance requirements, but that the lowest order of the filter can also be found. © 1998 IEEE.
Original languageEnglish
Pages (from-to)481-487
JournalIEEE Transactions on Industrial Electronics
Issue number3
Publication statusPublished - 1998
Externally publishedYes


  • Digital filters
  • Genetic algorithms


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