Parallel Hierarchical Genetic Algorithm for Scattered Data Fitting through B-Splines

Parallel Hierarchical Genetic Algorithm for Scattered Data Fitting through B-Splines

Curve fitting to unorganized data points is a very challenging problem that arises in a wide variety of scientific and engineering applications. Given a set of scattered and noisy data points, the goal is to construct a curve that corresponds to the best estimate of the unknown underlying relationsh...

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Bibliographic Details
Main Authors: Jose Edgar Lara-Ramirez, Carlos Hugo Garcia-Capulin, Maria de Jesus Estudillo-Ayala, Juan Gabriel Avina-Cervantes, Raul Enrique Sanchez-Yanez, Horacio Rostro-Gonzalez
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
genetic algorithm
parallel computing
B-spline fitting
scattered data
Online Access:https://www.mdpi.com/2076-3417/9/11/2336

Internet

https://www.mdpi.com/2076-3417/9/11/2336

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