Genetic algorithm applied to least squares curve fitting

Karr, C. L. (Charles L.); Stanley, D. A. (Donald A.); Scheiner, Bernard J.

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Genetic algorithm applied to least squares curve fitting

1991
By Karr, C. L. (Charles L.) ; Stanley, D. A. (Donald A.) ; Scheiner, Bernard J.
Series: Report of investigations (United States. Bureau of Mines) ; 9339

[PDF-691.47 KB]

English

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Personal Author:

Karr, C. L. (Charles L.) ; Stanley, D. A. (Donald A.) ; Scheiner, Bernard J.

Karr, C. L. (Charles L.) ; Stanley, D. A. (Donald A.) ; Scheiner, Bernard J. Less -
Corporate Authors:

United States. Bureau of Mines.
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
Subjects:

[+]

Curve Fitting -- Data Processing. Genetic Algorithms -- Data Processing. Least Squares -- Data Processing.
Series:

Report of investigations (United States. Bureau of Mines) ; 9339
Document Type:

Report
Collection(s):

Stephen B. Thacker CDC Library collection
Main Document Checksum:

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urn:sha256:78b8dd5b8d2e7fef623a34b12a2a6c86eb3043cdbf85cc765f2f43f7c7c2eb99
Download URL:

https://stacks.cdc.gov/view/cdc/10511/cdc_10511_DS1.pdf
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Genetic algorithm applied to least squares curve fitting

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