Using average uniform algorithm to model educational data

Alazzam, Azmi; Alomar, Ban

doi:10.1109/ctit.2017.8259562

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Note that the methods proposed by Saini et al [37] and Lu et al [38] failed to solve the problem of Cai et al [36]. Alazzam and Alomar [39] proposed an average uniform algorithm curve optimization method, which generates random optimal solutions using a uniform distribution and then averages the optimal solutions to obtain the optimal value of the objective function. Singh and Deep [40] proposed a nonlinear optimization model for 3D-curved surfaces using the gravity search algorithm, which sets the objective function as the error function between a given measured point and a point on the generated NURBS curve or surface.…”

Section: Introductionmentioning

confidence: 99%

Fast Reconstruction Model of the Ship Hull NURBS Surface with Uniform Continuity for Calculating the Hydrostatic Elements

Zhu,

Shi,

Liu

et al. 2023

JMSE

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The fast reconstruction of the ship hull nonuniform rational B-spline (NURBS) surface with uniform continuity is essential for calculating hydrostatic elements such as waterplane area and molded volume in real time. Thus, this study proposes a fast reconstruction model with uniform continuity to solve the problem of uniform continuity and splicing in the separate model of hull bow and stern surfaces. The proposed model includes the NURBS curve generation (UCG) algorithm with uniform continuity and the hybrid NURBS surface generation (HSG) algorithm. The UCG algorithm initially fits the feature points using the global interpolation algorithm and then precisely constructs straight-line segments in the curve using the improved flattening algorithm. In comparison, the HSG algorithm adaptively selects the surface knot vectors according to the parameters of the section curves. In this study, the profile of discontinuous compartments is uniformly expressed, effectively avoiding various articulation problems in separation modeling. The results of comparative experiments show that the NURBS surface generated using the HSG algorithm can accurately express the characteristics of various parts of the hull with uniform continuity, and the calculation speed of the proposed model can be increased by up to 8.314% compared with the existing best-performing algorithms. Thus, the proposed model is effective and can improve computational efficiency to a certain extent. The NURBS surfaces generated by the proposed model can be further applied to calculating the hydrostatic elements of hulls and compartments.

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Section: Introductionmentioning

confidence: 99%

Fast Reconstruction Model of the Ship Hull NURBS Surface with Uniform Continuity for Calculating the Hydrostatic Elements

Zhu,

Shi,

Liu

et al. 2023

JMSE

View full text Add to dashboard Cite

show abstract

“…The objective function was modeled as an error function between the given measured points and the points on the generated NURBS curve or surface. Another optimization approach for curve reconstruction is given by Alazzam et al [20] where Average Uniform Algorithm (AUA) was used. Their algorithm was principally constructed using uniform distribution to generate random solutions, and then averaging the best solutions to obtain the optimal value for the objective function.…”

Section: Introductionmentioning

confidence: 99%

Two view NURBS reconstruction based on GACO model

Saini

Kumar

Singh

et al. 2021

Complex Intell. Syst.

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The key job here in the presented work is to investigate the performance of Generalized Ant Colony Optimizer (GACO) model in order to evolve the shape of three dimensional free-form Non Uniform Rational B-Spline (NURBS) curve using stereo (two) views. GACO model is a blend of two well known meta-heuristic optimization algorithms known as Simple Ant Colony and Global Ant Colony Optimization algorithms. Basically, the work talks about the solution of NURBS-fitting based reconstruction process. Therefore, GACO model is used to optimize the NURBS parameters (control points and weights) by minimizing the weighted least-square errors between the data points and the fitted NURBS curve. The algorithm is applied by first assuming some pre-fixed values of NURBS parameters. The experiments clearly show that the optimization procedure is a better option in a case where good initial locations of parameters are selected. A detailed experimental analysis is given in support of our algorithm. The implemented error analysis shows that the proposed methodology perform better as compared to the conventional methods.

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Using average uniform algorithm to model educational data

Cited by 2 publications

References 21 publications

Fast Reconstruction Model of the Ship Hull NURBS Surface with Uniform Continuity for Calculating the Hydrostatic Elements

Fast Reconstruction Model of the Ship Hull NURBS Surface with Uniform Continuity for Calculating the Hydrostatic Elements

Two view NURBS reconstruction based on GACO model

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