- title = "Automated passive filter synthesis using a novel tree representation and genetic programming",
- author = "Shoou-Jinn Chang and Hao-Sheng Hou and Yan-Kuin Su",
- journal = "IEEE Transactions on Evolutionary Computation",
- volume = "10",
- number = "1",
- month = feb,
- year = "2006",
- pages = "93--100",
- keywords = "genetic algorithms, genetic programming, RLC circuits, circuit optimisation, network topology, passive filters, GP-evolved circuits, RLC circuit analysis, automated passive filter synthesis, circuit topology, tree representation, Circuit analysis, circuit representation, passive filter synthesis",
- ISSN = "1089-778X",
-
DOI = "
doi:10.1109/TEVC.2005.861415",
- abstract = "This paper proposes a novel tree representation which is suitable for the analysis of RLC (i.e., resistor, inductor, and capacitor) circuits. Genetic programming (GP) based on the tree representation is applied to passive filter synthesis problems. The GP is optimised and then incorporated into an algorithm which can automatically find parsimonious solutions without predetermining the number of the required circuit components. The experimental results show the proposed method is efficient in three aspects. First, the GP-evolved circuits are more parsimonious than those resulting from traditional design methods in many cases. Second, the proposed method is faster than previous work and can effectively generate parsimonious filters of very high order where conventional methods fail. Third, when the component values are restricted to a set of preferred values, the GP method can generate compliant solutions by means of novel circuit topology.",
-
notes = "INSPEC Accession Number:8753451
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan",
