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

Published Date:

1991

Series:

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

Language:

English

[PDF-691.47 KB]

Details:

Personal Authors:

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

Corporate Authors:

United States. Bureau of Mines.

Keywords:

[+]

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

Document Type:

Report

Collection(s):

National Institute for Occupational Safety and Health

Supporting Files:

No Additional Files

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