Evolving Evolutionary Algorithms for Function Optimization

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

  author =       "Mihai Oltean",
  title =        "Evolving Evolutionary Algorithms for Function
  booktitle =    "The 7th Joint Conference on Information Sciences",
  year =         "2003",
  editor =       "Ken Chen (et al)",
  volume =       "1",
  pages =        "295--298",
  address =      "North Carolina",
  month =        sep,
  publisher =    "Association for Intelligent Machinery",
  email =        "moltean@cs.ubbcluj.ro",
  keywords =     "genetic algorithms, genetic programming, evolving
                 evolutionary algorithms",
  URL =          "http://www.cs.ubbcluj.ro/~moltean/oltean_fea2003_1.pdf",
  URL =          "http://citeseer.ist.psu.edu/640208.html",
  size =         "4 pages",
  abstract =     "a generational Evolutionary Algorithm (EA) for
                 function optimisation is evolved using the Linear
                 Genetic Programming (LGP) technique. Numerical
                 experiments show that the evolved EA significantly
                 outperforms a standard GA.",
  notes =        "Also available at www.eea.cs.ubbcluj.ro.",

Genetic Programming entries for Mihai Oltean