On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental Systems

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

@Article{Trefzer:2012:ieeeTEC,
  author =       "Martin A. Trefzer and Tuze Kuyucu and 
                 Julian F. Miller and Andy M. Tyrrell",
  title =        "On the Advantages of Variable Length GRNs for the
                 Evolution of Multicellular Developmental Systems",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2013",
  volume =       "17",
  number =       "1",
  pages =        "100--121",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, GRN, gene
                 regulatory network",
  ISSN =         "1089-778X",
  DOI =          "doi:10.1109/TEVC.2012.2185848",
  size =         "22 pages",
  abstract =     "Biological genomes have evolved over a period of
                 millions of years and comprise thousands of genes, even
                 for the simplest organisms. However, in nature, only
                 12percent of the genes play an active role in creating
                 and maintaining the organism, while the majority are
                 evolutionary fossils. This raises the question whether
                 a considerably larger number of (partly redundant)
                 genes are required in order to effectively build a
                 functional developmental system, of which, in the final
                 system only a fraction is required for the latter to
                 function. This paper investigates different approaches
                 to creating artificial developmental systems (ADSs)
                 based on variable length gene regulatory networks
                 (GRNs). The GRNs are optimised using an evolutionary
                 algorithm (EA). A comparison is made between the
                 different variable length representations and fixed
                 length representations. It is shown that variable
                 length GRNs can achieve both reducing computational
                 effort during optimisation and increasing speed and
                 compactness of the resulting ADS, despite the higher
                 complexity of the encoding required. The results may
                 also improve the understanding of how to effectively
                 model GRN based developmental systems. Taking results
                 of all experiments into account makes it possible to
                 create an overall ranking of the different patterns
                 used as a testbench in terms of their complexity. This
                 ranking may aid to compare related work against. In
                 addition this allows a detailed assessment of the ADS
                 used and enables the identification of missing
                 mechanisms.",
  notes =        "also known as \cite{6151118}",
}

Genetic Programming entries for Martin A Trefzer Tuze Kuyucu Julian F Miller Andrew M Tyrrell

Citations