Coevolutionary Architectures with Straight Line Programs for solving the Symbolic Regression Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Cruz Enrique Borges and Cesar L. Alonso and 
                 Jose Luis Montana and Marina {de la Cruz Echeandia} and 
                 Alfonso {Ortega de la Puente}",
  title =        "Coevolutionary Architectures with Straight Line
                 Programs for solving the Symbolic Regression Problem",
  booktitle =    "Proceedings of the International Conference on
                 Evolutionary Computation (ICEC 2010)",
  year =         "2010",
  editor =       "Joaquim Filipe and Janusz Kacprzyk",
  pages =        "41--50",
  address =      "Valencia, Spain",
  month =        "24-26 " # oct,
  organisation = "INSTICC, AAAI, WfMC",
  publisher =    "SciTePress",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-989-8425-31-7",
  URL =          "",
  URL =          "",
  size =         "10 pages",
  abstract =     "To successfully apply evolutionary algorithms to the
                 solution of increasingly complex problems we must
                 develop effective techniques for evolving solutions in
                 the form of interacting coadapted subcomponents. In
                 this paper we present an architecture which involves
                 cooperative coevolution of two subcomponents: a genetic
                 program and an evolution strategy. As main difference
                 with work previously done, our genetic program evolves
                 straight line programs representing functional
                 expressions, instead of tree structures. The evolution
                 strategy searches for good values for the numerical
                 terminal symbols used by those expressions.
                 Experimentation has been performed over symbolic
                 regression problem instances and the obtained results
                 have been compared with those obtained by means of
                 Genetic Programming strategies without coevolution. The
                 results show that our coevolutionary architecture with
                 straight line programs is capable to obtain better
                 quality individuals than traditional genetic
                 programming using the same amount of computational
  notes =        "Broken

                 Also known as \cite{DBLP:conf/ijcci/BorgesAMEP10}",

Genetic Programming entries for Cruz Enrique Borges Cesar Luis Alonso Jose Luis Montana Arnaiz Marina de la Cruz Echeandia Alfonso Ortega de la Puente