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Bee Colony Algorithm for Proctors Assignment.
Published 2015“…The search accomplished by three types of bees over a number of iterations aiming to find the source with the highest nectar value (fitness value of a candidate solution). We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …”
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Bee colony algorithm for assigning proctors to exams. (c2013)
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masterThesis -
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An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…We use an ant colony optimization algorithm in the adaptation process. …”
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …”
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BUC algorithm for iceberg cubes
Published 2003“…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …”
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Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices
Published 2024“…We conducted a comparative analysis of various models and algorithms used in the related works. The results indicated that our proposed approach outperforms others, showcasing its effectiveness in both detecting and mitigating DDoS attacks within SDNs. …”
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…Environment and conditions are assumed to be similar in future drone flights within the radars’ defined zone. The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …”
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Evolutionary algorithm for protein structure prediction
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A direct algorithm for the parameterized face cover problem
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
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A New Penalty Function Algorithm For Convex Quadratic Programming
Published 2020“…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
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A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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masterThesis -
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025“…While the threshold for blockers is defined as ≤10 μ M and for non-blockers, it is >10 μ M, our analysis indicates that a threshold of 60- 80 μ M provides a more accurate cut-off for non-blockers. …”