Effective allele preservation by offspring selection: an empirical study for the TSP

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  title =        "Effective allele preservation by offspring selection:
                 an empirical study for the {TSP}",
  author =       "Michael Affenzeller and Stefan Wagner and 
                 Stephan M. Winkler",
  journal =      "Int. J. of Simulation and Process Modelling",
  year =         "2010",
  month =        apr # "~11",
  volume =       "6",
  number =       "1",
  pages =        "29--39",
  keywords =     "genetic algorithms, genetic programming, soft
                 computing, evolutionary computation, GAs selection,
                 self adaptation, population genetics, evolution
                 strategies, modelling, allele preservation, offspring
                 selection, travelling salesman problem",
  ISSN =         "1740-2131",
  URL =          "http://www.inderscience.com/link.php?id=32655",
  DOI =          "doi:10.1504/IJSPM.2010.032655",
  language =     "eng",
  publisher =    "Inderscience Publishers",
  abstract =     "The basic selection ideas of the different
                 representatives of evolutionary algorithms are
                 sometimes quite diverse. The selection concept of
                 Genetic Algorithms (GAs) and Genetic Programming (GP)
                 is basically realised by the selection of above-average
                 parents for reproduction, whereas Evolution Strategies
                 (ES) use the fitness of newly evolved offspring as the
                 basis for selection (survival of the fittest due to
                 birth surplus). This contribution considers aspects of
                 population genetics and ES in order to propose an
                 enhanced and generic selection model for GAs which is
                 able to preserve the alleles which are part of a high
                 quality solution. Some selected aspects of these
                 enhanced techniques are discussed exemplary on the
                 basis of the Travelling Salesman Benchmark (TSP)
                 problem instances.",
  bibsource =    "OAI-PMH server at www.inderscience.com",
  notes =        "GA rather than GP?",

Genetic Programming entries for Michael Affenzeller Stefan Wagner Stephan M Winkler