Practical passive filter synthesis using genetic programming

Hao Sheng Hou, Shoou Jinn Chang, Yan Kuin Su

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


This paper proposes a genetic programming method to synthesize passive filter circuits. This method allows both the circuit topology and the component values to be evolved simultaneously. Experiments show that this method is fast and capable of generating circuits which are more economical than those generated by traditional design approaches. In addition, we take into account practical design considerations at high-frequency applications, where the component values are frequency-dependent and restricted to some discrete values. Experimental results show that our method can effectively generate not only compliant but also economical circuits for practical design tasks.

Original languageEnglish
Pages (from-to)1180-1185
Number of pages6
JournalIEICE Transactions on Electronics
Issue number6
Publication statusPublished - 2005 Jun

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


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