Single Node Genetic Programming on Problems with Side Effects

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

@InProceedings{conf/ppsn/Jackson12,
  author =       "David Jackson",
  title =        "Single Node Genetic Programming on Problems with Side
                 Effects",
  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 =        "327--336",
  address =      "Taormina, Italy",
  month =        sep # " 1-5",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-32936-4",
  DOI =          "doi:10.1007/978-3-642-32937-1_33",
  size =         "10 pages",
  abstract =     "Single Node Genetic Programming (SNGP) offers a new
                 approach to GP in which every member of the population
                 consists of just a single program node. Operands are
                 formed from other members of the population, and
                 evolution is driven by a hill-climbing approach using a
                 single reversible operator. When the functions being
                 used in the problem are free from side effects, it is
                 possible to make use of a form of dynamic programming,
                 which provides huge efficiency gains. In this research
                 we turn our attention to the use of SNGP when the
                 solution of problems relies on the presence of side
                 effects. We demonstrate that SNGP can still be superior
                 to conventional GP, and examine the role of
                 evolutionary strategies in achieving this.",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  affiliation =  "Dept. of Computer Science, University of Liverpool,
                 Liverpool, L69 3BX United Kingdom",
}

Genetic Programming entries for David Jackson

Citations