Coevolutionary Cartesian Genetic Programming in FPGA

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  author =       "Radek Hrbacek and Michaela Sikulova",
  title =        "Coevolutionary Cartesian Genetic Programming in FPGA",
  booktitle =    "Advances in Artificial Life, ECAL 2013",
  year =         "2013",
  editor =       "Pietro Lio and Orazio Miglino and Giuseppe Nicosia and 
                 Stefano Nolfi and Mario Pavone",
  series =       "Complex Adaptive Systems",
  pages =        "431--438",
  address =      "Taormina, Italy",
  month =        sep # " 2-6",
  publisher =    "MIT Press",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, EHW",
  isbn13 =       "978-0-262-31709-2",
  DOI =          "doi:10.7551/978-0-262-31709-2-ch062",
  size =         "8 pages",
  abstract =     "In this paper, a hardware platform for coevolutionary
                 cartesian genetic programming is proposed. The proposed
                 two population coevolutionary algorithm involves the
                 implementation of search algorithms in two MicroBlaze
                 soft processors (one for each population)
                 interconnected by the AXI bus in Xilinx Virtex 6 FPGA.
                 Candidate programs are evaluated in a domain-specific
                 virtual reconfigurable circuit incorporated into custom
                 MicroBlaze peripheral. Experimental results in the task
                 of evolutionary image filter design show that we can
                 achieve significant speed-up (up to 58) in comparison
                 with highly optimised software implementation.",
  notes =        "

Genetic Programming entries for Radek Hrbacek Michaela Sikulova