Robust Gene Expression Programming

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

@Article{journals/procedia/RyanH11,
  author =       "Noah Ryan and David L. Hibler",
  title =        "Robust Gene Expression Programming",
  journal =      "Procedia Computer Science",
  year =         "2011",
  volume =       "6",
  pages =        "165--170",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming",
  ISSN =         "1877-0509",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1877050911004972",
  DOI =          "doi:10.1016/j.procs.2011.08.032",
  size =         "6 pages",
  abstract =     "Genetic/evolutionary methods are frequently used to
                 deal with complex adaptive systems. The classic example
                 is a Genetic Algorithm. A Genetic Algorithm uses a
                 simple linear representation for possible solutions to
                 a problem. This is usually a bit vector. Unfortunately,
                 the natural representation for many problems is a tree
                 structure. In order to deal with these types of
                 problems many evolutionary methods make use of tree
                 structures directly. Gene Expression Programming is a
                 new, popular evolutionary technique that deals with
                 these types of problems by using a linear
                 representation for trees. In this paper we present and
                 evaluate Robust Gene Expression Programming (RGEP).
                 This technique is a simplification of Gene Expression
                 Programming that is equally efficient and powerful. The
                 underlying representation of a solution to a problem in
                 RGEP is a bit vector as in Genetic Algorithms. It has
                 fewer and simpler operators than those of Gene
                 Expression Programming. We describe the basic
                 technique, discuss its advantages over related methods,
                 and evaluate its effectiveness on example problems",
  notes =        "Complex adaptive sysytems",
  bibdate =      "2012-02-07",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/procedia/procedia6.html#RyanH11",
}

Genetic Programming entries for Noah Ryan David L Hibler

Citations