| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 716649 | IFAC Proceedings Volumes | 2013 | 6 Pages |
Abstract
The curve fitting problem is present in several areas, including signal processing, statistics and geometric modeling. Computationally expensive algorithms were proposed to solve this problem, some using artificial intelligence. A previous work implemented a sequential Differential Evolution (DE) algorithm to solve the problem of Bézier Curve Fitting. This work implements and analyzes a solution to approximate Bézier curves using a parallel Differential Evolution algorithm. Tests were performed to verify the objective function in several generations of the DE algorithm, as well as an analysis of this solution's speedup and parallel efficiency.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
