Coevolutionary Cartesian Genetic Programming in FPGA

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Hrbacek:2013:ECAL,

• 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 = "http://www.dmi.unict.it/ecal2013/ http://mitpress.mit.edu/books/advances-artificial-life-ecal-2013 ECAL-2013",

}

Genetic Programming entries for Radek Hrbacek Michaela Sikulova

Citations