Register Based Genetic Programming on FPGA Computing Platforms

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

@InProceedings{heywood:2000:rbGPFPGA,
  author =       "M. I. Heywood and A. N. Zincir-Heywood",
  title =        "Register Based Genetic Programming on FPGA Computing
                 Platforms",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2000",
  year =         "2000",
  editor =       "Riccardo Poli and Wolfgang Banzhaf and 
                 William B. Langdon and Julian F. Miller and Peter Nordin and 
                 Terence C. Fogarty",
  volume =       "1802",
  series =       "LNCS",
  pages =        "44--59",
  address =      "Edinburgh",
  publisher_address = "Berlin",
  month =        "15-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-67339-3",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1802&spage=44",
  URL =          "http://users.cs.dal.ca/~mheywood/X-files/Publications/EuroGP-2k0.pdf",
  DOI =          "doi:10.1007/978-3-540-46239-2_4",
  abstract =     "The use of FPGA based custom computing platforms is
                 proposed for implementing linearly structured Genetic
                 Programs. Such a context enables consideration of micro
                 architectural and instruction design issues not
                 normally possible when using classical Von Neumann
                 machines. More importantly, the desirability of
                 minimising memory management overheads results in the
                 imposition of additional constraints to the crossover
                 operator. Specifically, individuals are described in
                 terms of the number of pages and page length, where the
                 page length is common across individuals of the
                 population. Pairwise crossover therefore results in the
                 swapping of equal length pages, hence minimising memory
                 overheads. Simulation of the approach demonstrates that
                 the method warrants further study.",
  notes =        "EuroGP'2000, part of
                 \cite{poli:2000:GP}

                 http://users.cs.dal.ca/~mheywood/X-files/Publications/EuroGP-2k0.pdf
                 has additional revisions.",
}

Genetic Programming entries for Malcolm Heywood Nur Zincir-Heywood

Citations