Central Dogma of Molecular Biology: New Paradigm in Natural Computing

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@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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