Automatic synthesis of practical passive filters using clonal selection principle-based gene expression programming

  • Authors:

  • Zhaohui Gan;Zhenkun Yang;Gaobin Li;Min Jiang

  • Affiliations:

  • College of Information Science and Engineering, Wuhan University of Science & Technology, Wuhan, China;College of Information Science and Engineering, Wuhan University of Science & Technology, Wuhan, China;College of Information Science and Engineering, Wuhan University of Science & Technology, Wuhan, China;College of Computer Science, Wuhan University of Science & Technology, Wuhan, China

  • Venue:
  • ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
  • Year:
  • 2007

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Abstract

This paper proposes a new method to synthesize practical passive filter using Clonal Selection principle-based Gene Expression Programming and binary tree representation. The circuit encoding of this method is simple and efficient. Using this method, both the circuit topology and component parameters can be evolved simultaneously. Discrete component value is used in the algorithm for practical implementation. Two kinds of filters are experimented to verify the excellence of our method, experimental results show that this approach can generate passive RLC filters quickly and effectively.