Curve Reconstruction In Different Cubic Functions Using Differential Evolution

This paper discusses the comparison on using two types of curves for curve reconstruction. Differential Evolution (DE) is used to optimize the parameter in the related spline function. DE minimized the Sum Square Error (SSE) to find the best curve that fit the data. The two curves namely cubic Bézie...

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Main Authors: Abu Hasan Zabidi, Yahya Zainor Ridzuan, Rusdi Nur Afifah, Roslan Nurshazneem
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201815006030
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spelling doaj-aadeacd0ffa24f1eb464237b0ecf13ac2021-02-02T06:56:14ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011500603010.1051/matecconf/201815006030matecconf_mucet2018_06030Curve Reconstruction In Different Cubic Functions Using Differential EvolutionAbu Hasan ZabidiYahya Zainor RidzuanRusdi Nur AfifahRoslan NurshazneemThis paper discusses the comparison on using two types of curves for curve reconstruction. Differential Evolution (DE) is used to optimize the parameter in the related spline function. DE minimized the Sum Square Error (SSE) to find the best curve that fit the data. The two curves namely cubic Bézier and cubic Ball is used for comparison purposes. For the curve reconstruction, the cubic Ball consumes less calculation time compare to cubic Bézier and gives better curve approximation based on the errors result. Visualization and numerical comparison shall be given.https://doi.org/10.1051/matecconf/201815006030
collection DOAJ
language English
format Article
sources DOAJ
author Abu Hasan Zabidi
Yahya Zainor Ridzuan
Rusdi Nur Afifah
Roslan Nurshazneem
spellingShingle Abu Hasan Zabidi
Yahya Zainor Ridzuan
Rusdi Nur Afifah
Roslan Nurshazneem
Curve Reconstruction In Different Cubic Functions Using Differential Evolution
MATEC Web of Conferences
author_facet Abu Hasan Zabidi
Yahya Zainor Ridzuan
Rusdi Nur Afifah
Roslan Nurshazneem
author_sort Abu Hasan Zabidi
title Curve Reconstruction In Different Cubic Functions Using Differential Evolution
title_short Curve Reconstruction In Different Cubic Functions Using Differential Evolution
title_full Curve Reconstruction In Different Cubic Functions Using Differential Evolution
title_fullStr Curve Reconstruction In Different Cubic Functions Using Differential Evolution
title_full_unstemmed Curve Reconstruction In Different Cubic Functions Using Differential Evolution
title_sort curve reconstruction in different cubic functions using differential evolution
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description This paper discusses the comparison on using two types of curves for curve reconstruction. Differential Evolution (DE) is used to optimize the parameter in the related spline function. DE minimized the Sum Square Error (SSE) to find the best curve that fit the data. The two curves namely cubic Bézier and cubic Ball is used for comparison purposes. For the curve reconstruction, the cubic Ball consumes less calculation time compare to cubic Bézier and gives better curve approximation based on the errors result. Visualization and numerical comparison shall be given.
url https://doi.org/10.1051/matecconf/201815006030
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AT yahyazainorridzuan curvereconstructionindifferentcubicfunctionsusingdifferentialevolution
AT rusdinurafifah curvereconstructionindifferentcubicfunctionsusingdifferentialevolution
AT roslannurshazneem curvereconstructionindifferentcubicfunctionsusingdifferentialevolution
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