Cartesian Genetic Programming in a Changing Environment

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

@InProceedings{Slany:2015:ECTA,
  author =       "Karel Slany",
  title =        "Cartesian Genetic Programming in a Changing
                 Environment",
  booktitle =    "Proceedings of the 7th International Joint Conference
                 on Computational Intelligence, ECTA 2015",
  year =         "2015",
  editor =       "Agostinho Rosa and Juan Julian Merelo and 
                 Antonio Dourado and Jose M. Cadenas and Kurosh Madani and 
                 Antonio Ruano and Joaquim Filipe",
  pages =        "204--211",
  address =      "Lisbon, Portugal",
  month =        "12-14 " # nov,
  organisation = "INSTICC - Institute for Systems and Technologies of
                 Information, Control and Communication, IFAC -
                 International Federation of Automatic Control, IEEE SMC
                 - IEEE Systems, Man and Cybernetics Society",
  publisher =    "SCITEPRESS - Science and Technology Publications",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, Age Layered Population Structure,
                 Changing Environment",
  isbn13 =       "978-989-758-157-1",
  isbn13 =       "978-9-8975-8165-6",
  language =     "english",
  URL =          "http://www.fit.vutbr.cz/research/view_pub.php?id=10980",
  URL =          "http://ieeexplore.ieee.org/document/7529325/",
  size =         "8 pages",
  abstract =     "Evolutionary algorithm are prevalently being used in
                 static environments. In a dynamically changing
                 environment an evolutionary algorithm must be also able
                 to cope with the changes of the environment. This paper
                 describes an algorithm based on Cartesian Genetic
                 Programming (CGP) that is used to design and optimise a
                 solution in a simulated symbolic regression problem in
                 a changing environment. A modified version of the
                 Age-Layered Population Structure (ALPS) algorithm is
                 being used in cooperation with CGP. It is shown that
                 the usage of ALPS can improve the performance on of CGP
                 when solving problems in a changing environment.",
  notes =        "ALPS CGP

                 Contact: Ana Margarida
                 Guerreiro

                 aguerreiro@insticc.org

                 IJCCI also known as \cite{7529325}",
}

Genetic Programming entries for Karel Slany

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