Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function

Curve reconstruction regularly used in reverse engineering. Meanwhile, curve fitting is one of the main compositions of curve reconstruction that is usually represented by mathematical functions, most suitable for representing a set of data points, and may need to meet some constraints. Various of c...

Full description

Bibliographic Details
Main Author: Mohamed, Najihah
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://eprints.usm.my/55613/1/24%20Pages%20from%20Najihah%20Binti%20Mohamed.pdf
_version_ 1797013468236218368
author Mohamed, Najihah
author_facet Mohamed, Najihah
author_sort Mohamed, Najihah
collection USM
description Curve reconstruction regularly used in reverse engineering. Meanwhile, curve fitting is one of the main compositions of curve reconstruction that is usually represented by mathematical functions, most suitable for representing a set of data points, and may need to meet some constraints. Various of curve fitting studies had been done by many researchers specifically using optimisation technique. The optimisation technique consists of exact algorithm, and approximate algorithm. The approximate algorithm is a good technique to be highlighted since it is a feasible way to develop an easier, more convenient curve fitting method, that will save great computation, solve a large scale problem and produce a better quality end result. Metaheuristics has strong and intelligent mechanisms to avoid being trapped in the local minimum.
first_indexed 2024-03-06T16:02:36Z
format Thesis
id usm.eprints-55613
institution Universiti Sains Malaysia
language English
last_indexed 2024-03-06T16:02:36Z
publishDate 2019
record_format dspace
spelling usm.eprints-556132022-11-11T01:07:02Z http://eprints.usm.my/55613/ Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function Mohamed, Najihah QA1 Mathematics (General) Curve reconstruction regularly used in reverse engineering. Meanwhile, curve fitting is one of the main compositions of curve reconstruction that is usually represented by mathematical functions, most suitable for representing a set of data points, and may need to meet some constraints. Various of curve fitting studies had been done by many researchers specifically using optimisation technique. The optimisation technique consists of exact algorithm, and approximate algorithm. The approximate algorithm is a good technique to be highlighted since it is a feasible way to develop an easier, more convenient curve fitting method, that will save great computation, solve a large scale problem and produce a better quality end result. Metaheuristics has strong and intelligent mechanisms to avoid being trapped in the local minimum. 2019-11 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/55613/1/24%20Pages%20from%20Najihah%20Binti%20Mohamed.pdf Mohamed, Najihah (2019) Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA1 Mathematics (General)
Mohamed, Najihah
Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
title Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
title_full Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
title_fullStr Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
title_full_unstemmed Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
title_short Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
title_sort curve reconstruction by metaheuristics algorithms on cubic rational bezier function
topic QA1 Mathematics (General)
url http://eprints.usm.my/55613/1/24%20Pages%20from%20Najihah%20Binti%20Mohamed.pdf
work_keys_str_mv AT mohamednajihah curvereconstructionbymetaheuristicsalgorithmsoncubicrationalbezierfunction