Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{conf/ppsn/SikulovaS12,
  author =       "Michaela Sikulova and Lukas Sekanina",
  title =        "Acceleration of Evolutionary Image Filter Design Using
                 Coevolution in Cartesian GP",
  booktitle =    "Parallel Problem Solving from Nature, PPSN XII (part
                 1)",
  year =         "2012",
  editor =       "Carlos A. {Coello Coello} and Vincenzo Cutello and 
                 Kalyanmoy Deb and Stephanie Forrest and 
                 Giuseppe Nicosia and Mario Pavone",
  volume =       "7491",
  series =       "Lecture Notes in Computer Science",
  pages =        "163--172",
  address =      "Taormina, Italy",
  month =        sep # " 1-5",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  isbn13 =       "978-3-642-32936-4",
  DOI =          "doi:10.1007/978-3-642-32937-1_17",
  size =         "10 pages",
  abstract =     "The aim of this work is to accelerate the task of
                 evolutionary image filter design using coevolution of
                 candidate filters and training vectors subsets. Two
                 coevolutionary methods are implemented and compared for
                 this task in the framework of Cartesian Genetic
                 Programming (CGP). Experimental results show that only
                 15--20percent of original training vectors are needed
                 to find an image filter which provides the same quality
                 of filtering as the best filter evolved using the
                 standard CGP which uses the whole training set.
                 Moreover, the median time of evolution was reduced 2.99
                 times in comparison with the standard CGP.",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  affiliation =  "Faculty of Information Technology, IT4Innovations
                 Centre of Excellence, Brno University of Technology,
                 Bozetechova 2, 612 66 Brno, Czech Republic",
}

Genetic Programming entries for Michaela Sikulova Lukas Sekanina

Citations