CAFFEINE: Template-Free Symbolic Model Generation of Analog Circuits via Canonical Form Functions and Genetic Programming

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@InProceedings{mcconaghy:2005:DATE,

• author = "Trent McConaghy and Tom Eeckelaert and Georges Gielen",
• title = "CAFFEINE: Template-Free Symbolic Model Generation of Analog Circuits via Canonical Form Functions and Genetic Programming",
• booktitle = "Proceedings of the Design Automation and Test Europe (DATE) Conference",
• year = "2005",
• pages = "1082--1087",
• keywords = "genetic algorithms, genetic programming",
• volume = "2",
• address = "Munich",
• organisation = "European Design and Automation Association, the EDA Consortium, the IEEE Computer Society - TTTC, ECSI, RAS and ACM SIGDA",
• ISSN = "1530-1591",
• URL = "http://arxiv.org/abs/0710.4630",
• DOI = "doi:10.1109/DATE.2005.89",
• abstract = "automatically generate compact symbolic performance models of analog circuits with no prior specification of an equation template. The approach takes SPICE simulation data as input, which enables modeling of any nonlinear circuits and circuit characteristics. Genetic programming is applied as a means of traversing the space of possible symbolic expressions. A grammar is specially designed to constrain the search to a canonical form for functions. Novel evolutionary search operators are designed to exploit the structure of the grammar. The approach generates a set of symbolic models which collectively provide a tradeoff between error and model complexity. Experimental results show that the symbolic models generated are compact and easy to understand, making this an effective method for aiding understanding in analog design. The models also demonstrate better prediction quality than posynomials.",
• notes = "http://www.date-conference.com/cgi-bin/prog05/show_conf_details.cgi?date=Thu paper id? 230, KU Leuven, BE",

}

Genetic Programming entries for Trent McConaghy Tom Eeckelaert Georges G E Gielen

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