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Genetic algorithm applied to least squares curve fitting.

Authors
Karr-CL Jr.; Stanley-DA; Scheiner-BJ
Source
Tuscaloosa, AL: U.S. Department of the Interior, Bureau of Mines, RI 9339, 1991 Jan; :1-8
Link
NIOSHTIC No.
10008480
Abstract
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.
Keywords
Optimization; Data-smoothing; Parabolas; Lines-geometry; Data-processing; Curve-fitting; Least-squares-method; Ree-Eyring-equation; Genetic-algorithms
Publication Date
19910101
Document Type
IH; Report of Investigations
Fiscal Year
1991
NTIS Accession No.
PB91-200527
NTIS Price
A03
Identifying No.
RI-9339
NIOSH Division
TURC
Source Name
Tuscaloosa, AL: U.S. Department of the Interior, Bureau of Mines, RI 9339
State
AL
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