Performance comparison of crossover operators for postfix genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Vipul K. Dabhi and Sanjay Chaudhary",
  title =        "Performance comparison of crossover operators for
                 postfix genetic programming",
  journal =      "Int. J. of Metaheuristics",
  year =         "2014",
  month =        oct # "~24",
  volume =       "3",
  number =       "3",
  pages =        "244--264",
  keywords =     "genetic algorithms, genetic programming, ga-like
                 one-point crossover, sub-tree crossover, semantic
                 awareness, postfix genetic programming, performance
  publisher =    "Inderscience Publishers",
  ISSN =         "1755-2184",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  URL =          "",
  DOI =          "DOI:10.1504/IJMHEUR.2014.065189",
  abstract =     "In this article, we present three crossover operators
                 for postfix-GP, a GP system that adopts postfix
                 notation for an individual representation. These
                 crossover operators are: GA-like one-point, sub-tree,
                 and semantic aware sub-tree. The algorithm and
                 implementation details for each of these crossover
                 operators are presented. The operators are applied on a
                 set of real-valued symbolic regression problems. The
                 performance comparison of the crossover operators is
                 carried out using two measures, number of successful
                 runs and mean best adjusted fitness. The significance
                 of the obtained results is tested using statistical
                 test. The results suggest that semantic aware sub-tree
                 crossover outperforms GA-like one-point and sub-tree
                 crossovers on all problems.",

Genetic Programming entries for Vipul K Dabhi Sanjay Chaudhary