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Automatic Synthesis of Practical Passive Filters Using Clonal Selection Principle-Based Gene Expression Programming

  • Zhaohui Gan
  • Zhenkun Yang
  • Gaobin Li
  • Min Jiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4684)

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.

Keywords

Gene Expression Programming Analog Circuit Artificial Immune System Tree Representation Clonal Selection Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Zhaohui Gan
    • 1
  • Zhenkun Yang
    • 1
  • Gaobin Li
    • 1
  • Min Jiang
    • 2
  1. 1.College of Information Science and Engineering, Wuhan University of Science & Technology, 430081 WuhanChina
  2. 2.College of Computer Science, Wuhan University of Science & Technology, 430081 WuhanChina

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