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Data fitting by G1 rational cubic Be´zier curves using harmony search
Published 2015“…A metaheuristic algorithm, called Harmony Search (HS) is implemented for data fitting by rational cubic Be´ zier curves. …”
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Data Fitting by G1 Rational Cubic Bézier Curves Using Harmony Search
Published 2015“…A metaheuristic algorithm, called Harmony Search (HS) is implemented for data fitting by rational cubic Bézier curves. …”
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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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Curve fitting by rational cubic Bézier with C1 and G1 continuity using metaheuristics methods
Published 2019“…Rational cubic Bézier curves are used to approximate the data sets while minimizing the least-squares error function using different metaheuristics algorithms. …”
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Rational drug design using genetic algorithm: case of malaria disease
Published 2012“…The genetic algorithm (GA) approach in the autodock4.2 has been used to search for the potential candidate drug in the twenty drugs. …”
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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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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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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Disparity between theory & practice beyond the worst-case competitive analysis
Published 2019“…In this work, we contribute towards bridging the gap between theory and practice by considering a set of algorithms for online conversion problems and discuss the disparity between the assumed worst case competitive rations and experimentally achieved competitive ratios using real world data. …”
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Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…The discovered decision algorithm and association rule from the Rough-Set based data mining had been compared with and successfully validated by those discovered using the benchmarking Decision-Tree based data mining strategy. …”
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Inversion algorithm of fiber bragg grating for nanofluid flooding monitoring
Published 2020“…In the current study, we developed an adaptive algorithm that can predict oil mobilization in a porous medium on the basis of optical data. …”
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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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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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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Transmission lines modelling based on RLC passive and active filter design
Published 2017“…This research proposes a new method for modelling the transmission line based on a rational approximation function which can be extracted through the Vector Fitting (VF) method, based on the frequency response measured data points. …”
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Validation process for electrical charge tomography system using digital imaging technique
Published 2009“…Numerical analysis result based on data measured by sensor indicates that the algorithm is efficient to overcome the numerical instability. …”
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