Central Dogma of Molecular Biology: New Paradigm in Natural Computing

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

@InProceedings{Rotar:2014:synasc,
  author =       "Corina Rotar",
  title =        "Central Dogma of Molecular Biology: New Paradigm in
                 Natural Computing",
  booktitle =    "16th International Symposium on Symbolic and Numeric
                 Algorithms for Scientific Computing (SYNASC 2014)",
  year =         "2014",
  editor =       "Franz Winkler and Viorel Negru and Tetsuo Ida and 
                 Tudor Jebelean and Dana Petcu and Stephen Watt and 
                 Daniela Zaharie",
  pages =        "285--292",
  address =      "Timisoara",
  month =        "22-25 " # sep,
  organisation = "Department of Computer Science, West University of
                 Timisoara, Romania; + Research Institute for Symbolic
                 Computation, Johannes Kepler University, Linz, Austria;
                 + Research Institute e-Austria, Timisoara, Romania.",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, natural
                 computing paradigm, optimisation, DNA, Evolution
                 (biology), Optimisation, Proteins, RNA, central dogma
                 of biology, evolutionary computation paradigm, protein
                 synthesis",
  isbn13 =       "978-1-4799-8448-0",
  DOI =          "doi:10.1109/SYNASC.2014.46",
  size =         "8 pages",
  abstract =     "The aim of this study is to develop a new natural
                 computing paradigm in terms of molecular biology.
                 Standard genetic algorithms are heuristics inspired by
                 the simplified model of natural evolution and genetics.
                 The latest discoveries and innovations from molecular
                 biology, related to the conventional central dogma of
                 molecular biology, generate the necessity of updating
                 the genetic algorithms, although successfully applied
                 in various complex tasks. In this direction, the
                 research in Natural Computation requires a
                 reconsideration of the concepts and theories underlying
                 the development of these popular optimization
                 techniques. Since the emergence of the new features is
                 important in the evolution, the DNA code requires
                 progress. Evolutionary Computation which is based on
                 the mutation and the natural selection can be
                 reconsidered in terms of protein synthesis and reverse
                 transcription. From the computational perspective, a
                 biological phenomenon might be interpreted in various
                 forms in order to obtain reliable computational
                 techniques.",
  notes =        "http://synasc.ro/2014",
}

Genetic Programming entries for Corina Rotar

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