Application of Genetic Algorithms with more Populations for Lindenmayer Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{kokai1998,
  author =       "Gabriella K\'okai and Zolt\'an T\'oth and 
                 Robert V\'anyi",
  title =        "Application of Genetic Algorithms with more
                 Populations for Lindenmayer Systems",
  booktitle =    "Proceedings of the International Symposium on
                 Engineering of Intelligent Systems, EIS'98",
  year =         "1998",
  editor =       "E. Alpaydin and Colin Fyfe",
  pages =        "324--331",
  keywords =     "genetic algorithms, genetic programming, lindenmayer
                 L-systems",
  URL =          "http://www.inf.u-szeged.hu/~kokai/papers/kanari.ps.gz",
  URL =          "http://citeseer.ist.psu.edu/515449.html",
  size =         "7 pages",
  abstract =     "The paper describes a solution of the inverse problem
                 for Lindenmayer systems with genetic programming.
                 Inverse problem means that we try to evolve Lindenmayer
                 grammars to describe fractal images. Genetic algorithm
                 is used to evolve the rewriting rules of the system. As
                 a starting point the solutions of Koza [7] and Jacob
                 [6] is applied but these solutions were extended: for
                 different types of fractal images, and we executed some
                 modifications: more populations are processed parallel
                 during the evolution process, where the selection of
                 the individuals after the meeting of the populations
                 can happen on the basis of either the best or the
                 median fitness value or the user himself can select
                 from the individuals. A further improvement we applied
                 is an adaptation scheme for the application probability
                 of genetic operators. With the help of this method,
                 operators which produce better individuals can be used
                 more frequently, so better individuals are more likely
                 produced. Thus, with the help of them the speed of
                 convergence can be significantly increased.",
}

Genetic Programming entries for Gabriella Kokai Zoltan Toth Robert Vanyi

Citations