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Genetic algorithm applied to least squares curve fitting

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Title: Genetic algorithm applied to least squares curve fitting
Contributors: Karr, C. L. (Charles L.), Stanley, D. A. (Donald A.), Scheiner, Bernard J., United States. Bureau of Mines.
Collection: CDC Stacks (Centers for Disease Control and Prevention)
Subject Terms: Genetic algorithms -- Data processing, Curve fitting -- Data processing, Least squares -- Data processing
Description: "The U.S. Bureau of Mines is investigating the use of genetic algorithms (ga's) for solving optimization problems. This computer search technique, based on the mechanics of natural genetics, was used to perform simple least-squares curve fitting. Three examples are presented in which a ga manipulates binary coded strings to produce near-optimal solutions to least-squares curve-fitting problems after having viewed only a small portion of the search space. The examples include fitting data to the equation of a line, the equation of a parabola, and the ree-eyring equation." - NIOSHTIC-2 ; NIOSHTIC no. 10008480 ; 1991
Document Type: other/unknown material
File Description: 8 numbered pages
Language: English
Relation: http://stacks.cdc.gov/view/cdc/10511/
Availability: http://stacks.cdc.gov/view/cdc/10511/
Accession Number: edsbas.92DCCB40
Database: BASE
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  – Url: http://stacks.cdc.gov/view/cdc/10511/#
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  Data: Genetic algorithm applied to least squares curve fitting
– Name: Author
  Label: Contributors
  Group: Au
  Data: Karr, C. L. (Charles L.)<br />Stanley, D. A. (Donald A.)<br />Scheiner, Bernard J.<br />United States. Bureau of Mines.
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  Data: CDC Stacks (Centers for Disease Control and Prevention)
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  Data: <searchLink fieldCode="DE" term="%22Genetic+algorithms+--+Data+processing%22">Genetic algorithms -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Curve+fitting+--+Data+processing%22">Curve fitting -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Least+squares+--+Data+processing%22">Least squares -- Data processing</searchLink>
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  Label: Description
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  Data: "The U.S. Bureau of Mines is investigating the use of genetic algorithms (ga's) for solving optimization problems. This computer search technique, based on the mechanics of natural genetics, was used to perform simple least-squares curve fitting. Three examples are presented in which a ga manipulates binary coded strings to produce near-optimal solutions to least-squares curve-fitting problems after having viewed only a small portion of the search space. The examples include fitting data to the equation of a line, the equation of a parabola, and the ree-eyring equation." - NIOSHTIC-2 ; NIOSHTIC no. 10008480 ; 1991
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  Data: 8 numbered pages
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    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Genetic algorithms -- Data processing
        Type: general
      – SubjectFull: Curve fitting -- Data processing
        Type: general
      – SubjectFull: Least squares -- Data processing
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      – TitleFull: Genetic algorithm applied to least squares curve fitting
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            NameFull: Karr, C. L. (Charles L.)
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            NameFull: Stanley, D. A. (Donald A.)
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            NameFull: Scheiner, Bernard J.
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            NameFull: United States. Bureau of Mines.
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