An Analysis Of Random Number Generators For a Hardware Implementation of Genetic Programming Using FPGAs And Handel-C
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{martin:2002:gecco,
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author = "Peter Martin",
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title = "An Analysis Of Random Number Generators For a Hardware
Implementation of Genetic Programming Using {FPGAs} And
{Handel-C}",
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booktitle = "GECCO 2002: Proceedings of the Genetic and
Evolutionary Computation Conference",
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editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and
R. Roy and D. Davis and R. Poli and K. Balakrishnan and
V. Honavar and G. Rudolph and J. Wegener and
L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and
E. Burke and N. Jonoska",
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year = "2002",
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pages = "837--844",
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address = "New York",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "9-13 " # jul,
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publisher = "Morgan Kaufmann Publishers",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "1-55860-878-8",
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URL = "http://www.naiadhome.com/gp284.pdf",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/gp063.ps",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/gp063.pdf",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf",
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size = "8 pages",
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abstract = "This paper analyses the effect of using different
random number generators (RNG) in a hardware
implementation of Genetic Programming using Field
Programmable Gate Arrays. Hardware systems have
typically used RNGs based on Logical Feedback Shift
Registers or Cellular Automata. Different
configurations of these generators are evaluated as
well as using a source of true random numbers and a
standard multiply/add generator. The results show that
using a more sophisticated generator than a simple LFSR
slightly improves the performance of GP.",
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notes = "GECCO-2002. A joint meeting of the eleventh
International Conference on Genetic Algorithms
(ICGA-2002) and the seventh Annual Genetic Programming
Conference (GP-2002)",
- }
Genetic Programming entries for
Peter Martin
Citations