Human Designed Vs. Genetically Programmed Differential Evolution Operators

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "N. G. Pavlidis and V. P. Plagianakos and 
                 D. K. Tasoulis and M. N. Vrahatis",
  title =        "Human Designed Vs. Genetically Programmed Differential
                 Evolution Operators",
  booktitle =    "Proceedings of the 2006 IEEE Congress on Evolutionary
  year =         "2006",
  editor =       "Gary G. Yen and Lipo Wang and Piero Bonissone and 
                 Simon M. Lucas",
  pages =        "6771--6777",
  address =      "Vancouver",
  month =        "6-21 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-9487-9",
  URL =          "",
  DOI =          "doi:10.1109/CEC.2006.1688536",
  size =         "7 pages",
  abstract =     "The hybridisation and combination of different
                 Evolutionary Algorithms to improve the quality of the
                 solutions and to accelerate execution is a common
                 research practice. In this paper, we use Genetic
                 Programming to evolve novel Differential Evolution
                 operators. The genetic evolution resulted in parameter
                 free Differential Evolution operators. Our experimental
                 results indicate that the performance of the
                 genetically programmed operators is comparable and in
                 some cases is considerably better than the already
                 existing human designed ones",
  notes =        "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 IEEE Catalog Number: 06TH8846D",

Genetic Programming entries for Nicos G Pavlidis V P Plagianakos Dimitris K Tasoulis Michael N Vrahatis