The Regulatory Network Computational Device

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

@Article{Lopes:2012:GPEM,
  author =       "Rui L. Lopes and Ernesto Costa",
  title =        "The Regulatory Network Computational Device",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2012",
  volume =       "13",
  number =       "3",
  pages =        "339--375",
  month =        sep,
  note =         "Special issue on selected papers from the 2011
                 European conference on genetic programming",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 regulatory network, Evolution, Development,
                 Neutrality",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-012-9160-y",
  size =         "37 pages",
  abstract =     "Evolutionary Algorithms (EA) approach the
                 genotype-phenotype relationship differently than does
                 nature, and this discrepancy is a recurrent issue among
                 researchers. Moreover, in spite of some performance
                 improvements, it is a fact that biological knowledge
                 has advanced faster than our ability to incorporate
                 novel biological ideas into EAs. Recently, some
                 researchers have started exploring computationally new
                 comprehension of the multitude of the regulatory
                 mechanisms that are fundamental in both processes of
                 inheritance and of development in natural systems, by
                 trying to include those mechanisms in the EAs. One of
                 the first successful proposals was the Artificial Gene
                 Regulatory Network (ARN) model, by Wolfgang Banzhaf.
                 Soon after some variants of the ARN were tested. we
                 describe one of those, the Regulatory Network
                 Computational Device, demonstrating experimentally its
                 capabilities. The efficacy and efficiency of this
                 alternative is tested experimentally using typical
                 benchmark problems for Genetic Programming (GP)
                 systems. We devise a modified factorial problem to
                 investigate the use of feedback connections and the
                 scalability of the approach. In order to gain a better
                 understanding about the reasons for the improved
                 quality of the results, we undertake a preliminary
                 study about the role of neutral mutations during the
                 evolutionary process.",
  notes =        "N-bit parity, Fibonacci, squares, modified factorial,
                 ReNCoDe symbolic regression, artificial ant
                 \cite{langdon:1998:antspace}, cart centering,
                 neutrality analysis, ARN EuroGP 2011
                 \cite{Silva:2011:GP}",
  affiliation =  "Center for Informatics and Systems of the University
                 of Coimbra, Polo II, Pinhal de Marrocos, 3030-290
                 Coimbra, Portugal",
}

Genetic Programming entries for Rui Lopes Ernesto Costa

Citations