Evolving Binary Classifiers Through Parallel Computation of Multiple Fitness Cases

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Stefano Cagnoni and Federico Bergenti and 
                 Monica Mordonini and Giovanni Adorni",
  title =        "Evolving Binary Classifiers Through Parallel
                 Computation of Multiple Fitness Cases",
  journal =      "IEEE Transactions on Systems, Man and Cybernetics -
                 Part B",
  year =         "2005",
  volume =       "35",
  number =       "3",
  pages =        "548--555",
  month =        jun,
  email =        "cagnoni@ce.unipr.it",
  keywords =     "genetic algorithms, genetic programming, cellular
                 programming, sub-machine code genetic programming,
                 multiple classifiers, pattern recognition",
  ISSN =         "1083-4419",
  DOI =          "doi:10.1109/TSMCB.2005.846671",
  size =         "8 pages",
  abstract =     "We describe two versions of a novel approach to
                 developing binary classifiers, based on two
                 evolutionary computation paradigms: cellular
                 programming and genetic programming. Such an approach
                 achieves high computation efficiency both during
                 evolution and at runtime. Evolution speed is optimised
                 by allowing multiple solutions to be computed in
                 parallel. Runtime performance is optimized explicitly
                 using parallel computation in the case of cellular
                 programming or implicitly, taking advantage of the
                 intrinsic parallelism of bitwise operators on standard
                 sequential architectures in the case of genetic

                 The approach was tested on a digit recognition problem
                 and compared to a reference classifier.",
  notes =        "PMID: 15971922 [PubMed - indexed for MEDLINE]",

Genetic Programming entries for Stefano Cagnoni Federico Bergenti Monica Mordonini Giovanni Adorni