Economical passive filter synthesis using genetic programming based on tree representation

Hao Sheng Hou, Shoou Jinn Chang, Yan Kuin Su

Research output: Contribution to journalConference article

6 Citations (Scopus)


In this work we propose a novel tree representation for RLC circuits. Genetic programming based on the tree representation is described and applied to passive filter synthesis problems. In addition, a way to minimize the size of synthesized circuits is presented. The results show that the proposed method can effectively generate not only compliant but also economical passive filters.

Original languageEnglish
Article number1465259
Pages (from-to)3003-3006
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 2005 Dec 1
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 2005 May 232005 May 26


All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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