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121
Allocating data to distributed-memory multiprocessors by genetic algorithms
Published 2016“…These are a sequential hybrid GA, a coarse-grain GA and a fine-grain GA. The last two are based on models of natural evolution that are suitable for parallel implementation; they have been implemented on a hypercube and a Connection Machine. …”
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122
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…To represent these features numerically, we employed a semantic-based model called BERT instead of the commonly used count-based models. …”
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123
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
124
Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
Published 2010Get full text
doctoralThesis -
125
A Genetic Algorithm For The Part Family Formation Problem
Published 2020“…Many researchers have tackled this problem and many algorithms have been proposed for it. In this paper, we present a genetic technique-based heuristic for the quadratic integer programming model of the part family formation problem which was formulated by Kusiak at al. (1986). …”
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126
An Algorithm For Computing The Distance Between Two Circular Disks
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127
A neural networks algorithm for data path synthesis
Published 2003“…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …”
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128
Data redundancy management for leaf-edges in connected environments
Published 2022“…Although the sensed data could be useful for various applications (e.g., event detection in cities, energy management in commercial buildings), it first requires pre-processing to clean various inconsistencies (e.g., anomalies, redundancies, missing values). …”
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130
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. The objective is to produce a model capable of predicting centroids with greater accuracy than the traditional random initialization used in K-means. …”
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masterThesis -
131
Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …”
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132
Economic load dispatch using memetic sine cosine algorithm
Published 2022“…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
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133
Parallel physical optimization algorithms for allocating data to multicomputer nodes
Published 1994“…The parallel genetic algorithm (PGA) is based on a natural model of evolution. …”
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134
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. …”
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135
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…PGA has excellent speed-ups by virtue of the natural evolution model on which it is based. PSA and PNN include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves for reducing the communication overhead. …”
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136
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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137
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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138
Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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masterThesis -
139
Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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140