Evolving Evolutionary Algorithms with Patterns

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "Mihai Oltean",
  title =        "Evolving Evolutionary Algorithms with Patterns",
  journal =      "Soft Computing",
  year =         "2007",
  volume =       "11",
  number =       "6",
  pages =        "503--518",
  month =        apr,
  email =        "moltean@cs.ubbcluj.ro",
  keywords =     "genetic algorithms, genetic programming, evolving
                 evolutionary algorithms, meta GP, MEP",
  ISSN =         "1432-7643",
  DOI =          "doi:10.1007/s00500-006-0079-1",
  abstract =     "A new model for evolving Evolutionary Algorithms (EAs)
                 is proposed in this paper. The model is based on the
                 Multi Expression Programming (MEP) technique. Each MEP
                 chromosome encodes an evolutionary pattern which is
                 repeatedly used for generating the individuals of a new
                 generation. The evolved pattern is embedded into a
                 standard evolutionary scheme which is used for solving
                 a particular problem. Several evolutionary algorithms
                 for function optimisation are evolved by using the
                 considered model. The evolved evolutionary algorithms
                 are compared with a human-designed Genetic Algorithm.
                 Numerical experiments show that the evolved
                 evolutionary algorithms can compete with standard
                 approaches for several well-known benchmarking

Genetic Programming entries for Mihai Oltean