Search Results - (( using rational method algorithm ) OR ( using optimization using algorithm ))
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Data fitting by G1 rational cubic Be´zier curves using harmony search
Published 2015“…Test outline images and comparative experimental analysis are presented to show effectiveness and robustness of the proposed method. Statistical testing between HS and two other different metaheuristic algorithms is used in the analysis on several outline images. …”
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Data Fitting by G1 Rational Cubic Bézier Curves Using Harmony Search
Published 2015“…Test outline images and comparative experimental analysis are presented to show effectiveness and robustness of the proposed method. Statistical testing between HS and two other different metaheuristic algorithms is used in the analysis on several outline images. …”
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…These techniques have been used to optimize control points and weights in the description of spline functions used. …”
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Thesis -
4
Curve fitting by rational cubic Bézier with C1 and G1 continuity using metaheuristics methods
Published 2019“…Those metaheuristics algorithms are Harmony Search, Genetic Algorithm, Particle Swarm Optimization and Modified Harmony Search. …”
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Conference or Workshop Item -
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Designing of skull defect implants using C1 rational cubic Bezier and offset curves
Published 2015“…In this study, data approximation by a rational cubic Bézier function uses HS to optimize position of middle points and value of the weights. …”
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Optimised multi-robot path planning via smooth trajectory generation
Published 2024“…A MPSO algorithm, without path smoothening, is used for comparison. …”
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Final Year Project / Dissertation / Thesis -
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Evaluation method of rationality of urban landscape facility design based on neural network
Published 2025“…Therefore, this study formulates a scientific and reasonable evaluation index system for the rationality of urban landscape facility design and uses a neural network to carry out intelligent evaluation, in order to obtain optimal evaluation outcomes. …”
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A multi-criteria proximal bundle-based optimization approach to chick-mash feed formulation
Published 2016“…A non-differentiable interactive multi-objective bundle-based optimization method was used in solving this problem. …”
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Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction
Published 2024“…DASC-FS integrates the Adaptive Sine Cosine Algorithm (ASCA) as a search algorithm to determine the relevant features and adopts Depth Linear Discriminant Analysis (D-LDA) to identify the discriminative features that maximize class sepa ration. …”
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Probabilistic load flow�based optimal placement and sizing of distributed generators
Published 2023Article -
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Rational Bi-Quartic Spline with Six Parameters for Surface Interpolation with Application in Image Enlargement
Published 2020“…This rational bi-quartic spline has six free parameters that can be used to refine the final interpolating surface. …”
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Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems
Published 2017“…Moreover, the particle swarm optimization (PSO) algorithm was used to search for the optimum set of unknown coefficients which are stress distribution and concrete tensile reduction factors. …”
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Rational methods for solving first order ordinary differential equation
Published 2019“…In this study, two classes of rational methods of second to fourth order of accuracy are proposed. …”
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Rational quadratic Bézier curve fitting by simulated annealing technique
Published 2013“…A metaheuristic algorithm, which is an approximation method called simulated annealing is implemented in order to have the best rational quadratic Bézier curve from a given data points. …”
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Conference or Workshop Item -
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Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…Later, an Iterative-based Sizing Algorithm (ISA) was developed to determine the optimal sizing solution which was later used as benchmark for sizing algorithms using optimization methods. …”
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Thesis -
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The algorithms are evaluated using 30 benchmark functions of the CEC2014 benchmark suite, and then applied to solve PCB drill path optimization case study. …”
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Thesis -
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Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
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Undergraduates Project Papers
