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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CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners. As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.

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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: Mining Publications

English

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Details:

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:

Mining Publications
Subseries:

Report of Investigations
Document Type:

Text
Genre:

Report
CIO:

National Institute for Occupational Safety and Health (NIOSH)
Pages in Document:

8 numbered pages
NIOSHTIC Number:

10008480
Resource Number:

RI-9339
Collection(s):

National Institute for Occupational Safety and Health
Main Document Checksum:

[+]

urn:sha-512:57adfcd7e3db8a3d158fdc94f926438a228871e5282f2b08984158ef48dc459828a931829c105b1228bb20461ab482ab12e4c91cd2dda1cb03627d8fe13632ba
Download URL:

https://stacks.cdc.gov/view/cdc/10511/cdc_10511_DS1.pdf
File Type:

[PDF-691.47 KB]