Evolving Digital Electronic Circuits for Real-Valued Function Generation using a Genetic Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{miller:1998:edcrfgGA,

• author = "Julian F. Miller and Peter Thomson",
• title = "Evolving Digital Electronic Circuits for Real-Valued Function Generation using a Genetic Algorithm",
• booktitle = "Genetic Programming 1998: Proceedings of the Third Annual Conference",
• year = "1998",
• editor = "John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo",
• pages = "863--868",
• address = "University of Wisconsin, Madison, Wisconsin, USA",
• publisher_address = "San Francisco, CA, USA",
• month = "22-25 " # jul,
• publisher = "Morgan Kaufmann",
• keywords = "genetic algorithms, genetic programming, Evolvable Hardware",
• ISBN = "1-55860-548-7",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8117",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8117.pdf",
• size = "6 pages",
• abstract = "In this paper we describe experiments which attempt to evolve digital electronic circuits whose purpose is to implement real signals. As a convenience we chose to evolve mathematical functions i.e. the square-root and sine. Real numbers in the range 0.00-0.99 are encoded in binary using four bits per decimal place. The chromosome used is exactly modelled on the resources available on the Xilinx 6216 re-configurable Field Programmable Gate Array (FPGA), so that evolved circuit designs may be simply implemented on this target device. We investigated a number of ways of presenting examples to the circuit so that the target function might be learnt, and also looked at two distinctly different fitness function definitions.",
• notes = "GP-98",

}

Genetic Programming entries for Julian F Miller Peter Thomson

Citations