Problem Decomposition in Cartesian Genetic Programming

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

@InCollection{Walker:2011:CGP,
  author =       "James Alfred Walker and Julian F. Miller and 
                 Paul Kaufmann and Marco Platzner",
  title =        "Problem Decomposition in Cartesian Genetic
                 Programming",
  booktitle =    "Cartesian Genetic Programming",
  publisher =    "Springer",
  editor =       "Julian F. Miller",
  year =         "2011",
  series =       "Natural Computing Series",
  chapter =      "3",
  pages =        "35--99",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  isbn13 =       "978-3-642-17309-7",
  URL =          "http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7",
  DOI =          "doi:10.1007/978-3-642-17310-3_3",
  abstract =     "Scalability has become a major issue and a hot topic
                 of research for the GP community, as researchers are
                 moving on to investigate more complex problems.
                 Throughout nature and conventional human design
                 principles, modular structures are extensively used to
                 tackle complex problems by decomposing them into
                 smaller, simpler subproblems, which can be
                 independently solved. Modularity is defined as the
                 degree to which an entity can be represented in terms
                 of smaller functional blocks. These smaller functional
                 blocks are known as modules. In this chapter, a new
                 approach called Embedded CGP (ECGP), is described that
                 is capable of dynamically acquiring, evolving, and
                 reusing modules to exploit modularity. Alternative
                 approaches for acquiring modules within ECGP are also
                 discussed before describing Modular CGP (MCGP), an
                 enhancement to ECGP that allows the use of nested
                 modules to see if further performance improvements are
                 possible. Finally, an approach that uses the concept of
                 multiple chromosomes in order to allow CGP and ECGP to
                 exploit modularity through compartmentalisation is
                 described.",
  notes =        "part of \cite{Miller:CGP}",
}

Genetic Programming entries for James Alfred Walker Julian F Miller Paul Kaufmann Marco Platzner

Citations