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:1.8051
- @TechReport{oai:CiteSeerPSU:569263,
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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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author = "Peter Martin",
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year = "2002",
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institution = "Department of Computer Science, University of Essex",
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type = "Technical Report",
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number = "CSM-358",
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address = "Wivenhoe Park, Colchester, CO4 3SQ UK.",
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month = "24th " # jan,
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keywords = "genetic algorithms, genetic programming",
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citeseer-isreferencedby = "oai:CiteSeerPSU:445301;
oai:CiteSeerPSU:97408; oai:CiteSeerPSU:245036;
oai:CiteSeerPSU:102011; oai:CiteSeerPSU:418692;
oai:CiteSeerPSU:240174; oai:CiteSeerPSU:226120",
-
citeseer-references = "oai:CiteSeerPSU:441838; oai:CiteSeerPSU:43964;
oai:CiteSeerPSU:471279; oai:CiteSeerPSU:186935;
oai:CiteSeerPSU:178733; oai:CiteSeerPSU:16085;
oai:CiteSeerPSU:523041",
-
annote = "The Pennsylvania State University CiteSeer Archives",
-
language = "en",
-
oai = "oai:CiteSeerPSU:569263",
-
rights = "unrestricted",
-
URL = "http://www.naiadhome.com/csm-358.pdf",
-
URL = "http://cswww.essex.ac.uk/technical-reports/2002/csm-358.ps",
-
URL = "http://citeseer.ist.psu.edu/569263.html",
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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. We show that using a
more sophisticated generator than a simple LFSR
slightly improves the performance of the hardware GP
system.",
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size = "13 pages",
- }
Genetic Programming entries for
Peter Martin
Citations