Examination of genetic programming paradigm for high-throughput experimentation and heterogeneous catalysis

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

@Article{Baumes2008,
  author =       "Laurent A. Baumes and Pierre Collet",
  title =        "Examination of genetic programming paradigm for
                 high-throughput experimentation and heterogeneous
                 catalysis",
  journal =      "Computational Materials Science",
  year =         "2009",
  volume =       "45",
  number =       "1",
  pages =        "27--40",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, Heterogeneous
                 catalysis, High-throughput, Materials, Combinatorial,
                 Representation, Data structure",
  ISSN =         "0927-0256",
  DOI =          "doi:10.1016/j.commatsci.2008.03.051",
  URL =          "http://www.sciencedirect.com/science/article/B6TWM-4T4J19Y-1/2/809324138cc0b8f49634eae7f22e995f",
  size =         "14 pages",
  abstract =     "The strong feature dependencies that exist in catalyst
                 description do not permit using common algorithms while
                 not loosing crucial information. Data treatments are
                 restricted by the form of input data making the full
                 use of the experimental information impossible,
                 confining the experimentation studies, and reducing one
                 of the primary goals of HTE: to enlarge the search
                 space. Consequently, an advanced representation of the
                 catalytic data supporting the intrinsic complexity of
                 heterogeneous catalyst data structure is proposed.
                 Likewise, an optimization strategy that can manipulate
                 efficiently such data type, permitting a valuable
                 connection between algorithms, high-throughput (HT)
                 apparatus, and databases, is depicted. Such a new
                 methodology enables the integration of domain knowledge
                 through its configuration considering the study to be
                 investigated. For the first time in heterogeneous
                 catalysis, a conceptual examination of genetic
                 programming (GP) is achieved.",
  notes =        "Selected papers from the E-MRS 2007 Fall Meeting
                 Symposium G: Genetic Algorithms in Materials Science
                 and Engineering - GAMS-2007",
}

Genetic Programming entries for Laurent Allan Baumes Pierre Collet

Citations