Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function

dc.contributor.author	Najihah Mohamed
dc.date.accessioned	2022-11-11T01:08:33Z
dc.date.available	2022-11-11T01:08:33Z
dc.date.issued	2019-11
dc.description.abstract	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.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/16621
dc.publisher	Universiti Sains Malaysia	en_US
dc.subject	Metaheuristics Algorithms	en_US
dc.subject	Rational Bezier Function	en_US
dc.title	Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function	en_US
dc.type	Thesis	en_US

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