Evolving crossover operators for function optimization

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

  author =       "Laura Dio\c{s}an and Mihai Oltean",
  title =        "Evolving crossover operators for function
  editor =       "Pierre Collet and Marco Tomassini and Marc Ebner and 
                 Steven Gustafson and Anik\'o Ek\'art",
  booktitle =    "Proceedings of the 9th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3905",
  year =         "2006",
  address =      "Budapest, Hungary",
  month =        "10 - 12 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-33143-3",
  pages =        "97--108",
  DOI =          "doi:10.1007/11729976_9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "A new model for evolving crossover operators for
                 evolutionary function optimisation is proposed in this
                 paper. The model is a hybrid technique that combines a
                 Genetic Programming (GP) algorithm and a Genetic
                 Algorithm (GA). Each GP chromosome is a tree encoding a
                 crossover operator used for function optimization. The
                 evolved crossover is embedded into a standard Genetic
                 Algorithm which is used for solving a particular
                 problem. Several crossover operators for function
                 optimisation are evolved using the considered model.
                 The evolved crossover operators are compared to the
                 human-designed convex crossover. Numerical experiments
                 show that the evolved crossover operators perform
                 similarly or sometimes even better than standard
                 approaches for several well-known benchmarking
  notes =        "Part of \cite{collet:2006:GP} EuroGP'2006 held in
                 conjunction with EvoCOP2006 and EvoWorkshops2006",

Genetic Programming entries for Laura Diosan Mihai Oltean