Examination of genetic programming paradigm for high-throughput experimentation and heterogeneous catalysis
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Baumes2008,
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author = "Laurent A. Baumes and Pierre Collet",
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title = "Examination of genetic programming paradigm for
high-throughput experimentation and heterogeneous
catalysis",
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journal = "Computational Materials Science",
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year = "2009",
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volume = "45",
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number = "1",
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pages = "27--40",
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month = mar,
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keywords = "genetic algorithms, genetic programming, Heterogeneous
catalysis, High-throughput, Materials, Combinatorial,
Representation, Data structure",
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ISSN = "0927-0256",
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DOI = "doi:10.1016/j.commatsci.2008.03.051",
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URL = "http://www.sciencedirect.com/science/article/B6TWM-4T4J19Y-1/2/809324138cc0b8f49634eae7f22e995f",
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size = "14 pages",
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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.",
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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