A methodology for reconfigurable hardware design based upon evolutionary computation

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Francisco {Fernandez de Vega} and J. I. Hidalgo and 
                 J. Lanchares and J. M. Sanchez",
  title =        "A methodology for reconfigurable hardware design based
                 upon evolutionary computation",
  journal =      "Microprocessors and Microsystems",
  year =         "2004",
  volume =       "28",
  number =       "7",
  pages =        "363--371",
  month =        sep,
  email =        "fcofdez@unex.es",
  keywords =     "genetic algorithms, genetic programming,
                 reconfigurable hardware, Field programmable gate
                 arrays, Compact genetic algorithm, Configurable logic
  ISSN =         "0141-9331",
  URL =          "http://www.sciencedirect.com/science/article/B6V0X-4C4BWW7-1/2/815fe7c17a6207d7a31f8046e4e2a5d1",
  DOI =          "doi:10.1016/j.micpro.2004.03.017",
  size =         "9 pages",
  abstract =     "We present a methodology for Multi-FPGA systems (MFS)
                 design. MFSs are used for a great variety of
                 applications, including dynamically re-configurable
                 hardware applications, digital circuit emulation, and
                 numerical computation. There are a great variety of
                 boards for MFS implementation. We have employed a set
                 of techniques based on evolutionary algorithms, and we
                 show that they are capable of solving all of the design
                 tasks (partitioning placement and routing). Firstly a
                 hybrid compact genetic algorithm solves the
                 partitioning problem and then genetic programming is
                 used to obtain a solution for the two other tasks.",

Genetic Programming entries for Francisco Fernandez de Vega J I Hidalgo J Lanchares Juan Manuel Sanchez Perez