Bond Graph Representation and GP for Automated Analog Filter Design

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{fan:2001:bgrgaafd,

• author = "Zhun Fan and Jianjun Hu and Kisung Seo and Erik D. Goodman and Ronald C. Rosenberg and Baihai Zhang",
• title = "Bond Graph Representation and {GP} for Automated Analog Filter Design",
• booktitle = "2001 Genetic and Evolutionary Computation Conference Late Breaking Papers",
• year = "2001",
• editor = "Erik D. Goodman",
• pages = "81--86",
• address = "San Francisco, California, USA",
• month = "9-11 " # jul,
• email = "fanzhun@egr.msu.edu, hujianju@egr.msu.edu",
• keywords = "genetic algorithms, genetic programming, STGP, bond graphs, evolutionary synthesis",
• URL = "https://www.cse.sc.edu/~jianjunh/paper/gecco2001_gpbg.pdf",
• URL = "http://citeseer.ist.psu.edu/448346.html",
• size = "6 pages",
• abstract = "We present a novel circuit representation scheme, namely bond graph, along with strong-typed genetic programming for the evolution of analog filter circuits. Bond graph is a concise and uniform language for the description of circuit systems and more general engineering systems. Many unique characteristics of bond graph makes it an attractive candidate for representing circuit in genetic programming design. The feasibility and efficiency of using bond graph as the representation technique of circuit systems are verified in our experiments with automated analogue filter design.",
• notes = "GECCO-2001LB, lilgp",

}

Genetic Programming entries for Zhun Fan Jianjun Hu Kisung Seo Erik Goodman Ronald C Rosenberg Baihai Zhang

Citations