Automated synthesis of passive analog filters using graph representation
Created by W.Langdon from
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- @Article{Gan20101887,
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author = "Zhaohui Gan and Zhenkun Yang and Tao Shang and
Tianyou Yu and Min Jiang",
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title = "Automated synthesis of passive analog filters using
graph representation",
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journal = "Expert Systems with Applications",
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volume = "37",
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number = "3",
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pages = "1887--1898",
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year = "2010",
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ISSN = "0957-4174",
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DOI = "doi:10.1016/j.eswa.2009.07.013",
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URL = "http://www.sciencedirect.com/science/article/B6V03-4WXHBSP-5/2/32ead9142a06172b08c290d1ce58b362",
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keywords = "genetic algorithms, genetic programming, Analog
passive filter synthesis, Automatic design, Clone
selection algorithm, Graph-based encoding scheme",
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abstract = "In this paper, a novel method based on graph encoding
scheme and clone selection algorithm is proposed for
synthesising passive analog filters. Graph is the most
natural and convenient data structure to represent
analog electronic circuit. The proposed graph-based
encoding scheme can represent any topologies of passive
analog circuit and their component values. Combined
with the efficient analog circuit encoding scheme,
clone selection algorithm is employed as a search
engine for automatic design of passive analog filters.
The proposed method can synthesise both topology and
sizing (component parameters) of circuit
simultaneously. Three filter design tasks are
experimented to evaluate the proposed method. The
experimental results demonstrate that passive analog
filters can be generated effectively with modest
computation time. Taking more practical conditions into
account, the proposed method can be applied into
automatic design of passive analog filters for
engineering application without the guidance of
experienced engineers.",
- }
Genetic Programming entries for
Zhaohui Gan
Zhenkun Yang
Tao Shang
Tianyou Yu
Min Jiang
Citations