Automatic generation and exploitation of related problems in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Krawiec:2010:cec,
  author =       "Krzysztof Krawiec and Bartosz Wieloch",
  title =        "Automatic generation and exploitation of related
                 problems in genetic programming",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  size =         "8 pages",
  abstract =     "We propose an evolutionary framework that uses the set
                 of instructions provided with a genetic programming
                 (GP) problem to automatically build a repertoire of
                 related problems and subsequently uses them to improve
                 the performance of search. The novel idea is to use the
                 synthesised related problems to simultaneously exert
                 multiple selection pressures on the evolving
                 population(s). For that framework, we design two
                 methods. In the first method, individuals optimising
                 for particular problems dwell in separate populations
                 and spawn clones which migrate to other populations,
                 similarly to the island model. The second method
                 operates on a single population and ranks the fitness
                 values that individuals receive from particular
                 problems to make them comparable. When applied to six
                 symbolic regression problems of different difficulty,
                 both methods perform better than the standard GP,
                 though sometimes fail to prove superior to certain
                 control setup.",
  DOI =          "doi:10.1109/CEC.2010.5586120",
  notes =        "ECJ. WCCI 2010. Also known as \cite{5586120}",
}

Genetic Programming entries for Krzysztof Krawiec Bartosz Wieloch

Citations