Search Results - (( problem implementation some algorithm ) OR ( parallel optimization path algorithm ))
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
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Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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Minimizing machining airtime motion with an ant colony algorithm
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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A novel large-bit-size architecture and microarchitecture for the implementation of Superscalar Pipeline VLIW microprocessors
Published 2008“…Different adder architectures are investigated for suitability on synthesis implementation of large data bus size adder for efficient usage within the ALU. An adder algorithm using repetitive constructs in a parallel algorithm that allows for efficient and optimal synthesis for large data bus size is proposed as a suitable implementation for the adder within the ALU. …”
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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…These quantum algorithms can be applied to solve routing problem in the quantum networks and the quantum multicomputer. …”
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A hybrid algorithm for finding shortest path in network routing.
Published 2009“…This wave gives an O( N ) steps quantum algorithm for identifying that record, where was used classical Dijkstra’s algorithm for finding shortest path problem in the graph of network and implement quantum search. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…The multiobjective set covering model is used by including some real-world restrictions to find number of buses and drivers as it can represent the problem clearly for implementation. …”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
Published 2023“…Despite these advantages, the basic ABC algorithm has some drawbacks such as slow convergence, poor exploitation, and difficulty in finding the best solution among all feasible solutions in some cases. …”
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…As each level is traversed, a biological plausibility argument is gradually strengthened. At the algorithmic level, several approaches for solving the pose estimation problem are compared in terms of their neural implementability. …”
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Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.]
Published 2024“…The accuracy of these methods is tested numerically on some real-life nonlinear equations such as the fluid permeability problem, the blood rheology model, Van Der Wall’s and Planck’s radiation laws, and lastly, the beam design problem. …”
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Three-term backpropagation algorithm for classification problem
Published 2006“…Despite the general success of this algorithm, there are several drawbacks and limitations which some of them are the existence of local minima, slow rates of convergence and some of the modification of BP algorithm requires complex and costly calculations at each iteration, which offset their faster rates of convergence. …”
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…Decision tree is an important method in data mining to solve the classification problems. There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
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Enhanced Clustering Algorithms For Gray-Scale Image Segmentation
Published 2012“…However, in some cases the conventional clustering algorithms introduce over-segmentation problems and unable to preserve the region of interest (i.e. objects).…”
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Implementation of an autonomous mobile robot navigation algorithm using C language
Published 2009“…The objective of the project is to develop navigation algorithm for the autonomous mobile robot. After that, implement the navigation algorithm on the mobile robot and without using the external sensor for navigation of the mobile robot to reach the specified point. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…Nonetheless, the A • algorithm do have some unique properties which is more efficient in finding the shortest path especially in human real-world problem. …”
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A quantum algorithm for minimal spanning tree
Published 2008“…Classical algorithms involve searching over some space for finding the minimal spanning tree problem in a graph. …”
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Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
Published 2018“…Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. …”
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