Cartesian genetic programming approach for embryonic fabric architecture

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

@InProceedings{Malhotra:2016:ICICM,
  author =       "Gayatri Malhotra",
  booktitle =    "2016 6th International Conference on Information
                 Communication and Management (ICICM)",
  title =        "Cartesian genetic programming approach for embryonic
                 fabric architecture",
  year =         "2016",
  pages =        "285--290",
  abstract =     "The Cartesian genetic programming (CGP) considers grid
                 of nodes to represent a genotype. In the corresponding
                 phenotype each node represents a processing element.
                 The processing element has similar structure as of
                 smallest embryonic fabric element. It can be an
                 embryonic molecule where all molecules combine and
                 create an embryonic cell equivalent to a circuit. The
                 evolutionary algorithm applied to genotypes select the
                 fittest. The evaluated genotype determines the
                 configuration data for embryonic cell. The
                 configuration data generation is automated with this
                 approach. As well this can lead to optimised embryonic
                 fabric structure if optimisation by evolutionary
                 algorithm is used. In this paper the CGP approach is
                 applied to generate configuration data for embryonic
                 fabric. The approach is simulated for 1-bit adder
                 circuit.",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming",
  DOI =          "doi:10.1109/INFOCOMAN.2016.7784259",
  month =        oct,
  notes =        "Also known as \cite{7784259}",
}

Genetic Programming entries for Gayatri Malhotra

Citations