Economical passive filter synthesis using genetic programming based on tree representation

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@InProceedings{hou_2005_iscas,
  author =       "Hao-Sheng Hou and Shoou-Jinn Chang and Yan-Kuin Su",
  title =        "Economical passive filter synthesis using genetic
                 programming based on tree representation",
  booktitle =    "Proceedings of the IEEE International Symposium on
                 Circuits and Systems (ISCAS)",
  year =         "2005",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, Passive
                 Filter Synthesis, Circuit Representation",
  URL =          "http://www.ncku.edu.tw/~acadserv/abroad/94q2-10a.pdf",
  URL =          "http://www.epapers.org//iscas2005/ESR/paper_details.php?PHPSESSID=3b6735b25d9602780e3827e15b1ee196&paper_id=4103",
  abstract =     "we propose a 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.",
  notes =        "National Cheng Kung University, Taiwan ROC",
}

Genetic Programming entries for Hao-Sheng Hou Shoou-Jinn Chang Yan-Kuin Su

Citations