Improving the Search by Encoding Multiple Solutions in a Chromosome

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

  author =       "Mihai Oltean",
  title =        "Improving the Search by Encoding Multiple Solutions in
                 a Chromosome",
  booktitle =    "Evolutionary Machine Design: Methodology and
  publisher =    "Nova Publishers",
  year =         "2005",
  editor =       "Nadia Nedjah and Luiza {de Macedo Mourelle}",
  series =       "Intelligent System Engineering",
  chapter =      "4",
  pages =        "85--110",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-59454-405-0",
  URL =          "",
  abstract =     "We investigate the possibility of encoding multiple
                 solutions of a problem in a single chromosome. The best
                 solution encoded in an individual will represent (will
                 provide the fitness of) that individual. In order to
                 obtain some benefits the chromosome decoding process
                 must have the same complexity as in the case of a
                 single solution in a chromosome. Three Genetic
                 Programming techniques are analysed for this purpose:
                 Multi Expression Programming, Linear Genetic
                 Programming and Infix Form Genetic Programming.
                 Numerical experiments show that encoding multiple
                 solutions in a chromosome greatly improves the search
  notes =        "",

Genetic Programming entries for Mihai Oltean