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  1. 1
    An Improved Quorum Selection Algorithm

    An Improved Quorum Selection Algorithm by Haraty, Ramzi A.

    Published 2008
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  2. 2
    Belief selection in point-based planning algorithms for POMDPs

    Belief selection in point-based planning algorithms for POMDPs by Azar, Danielle

    Published 2017
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  3. 3
    Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization

    Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization by Aly, Islam Adel Helmy

    Published 2015
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  4. 4
    Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection

    Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection by Ajaj, Mohamad

    Published 2024
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  5. 5
    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise

    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise by Saab, Samer S.

    Published 2005
    “…The main purpose of this paper is to supply to the iterative learning control (ILC) designer guidelines to select the corresponding learning gain in order to achieve this control objective. …”
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  6. 6
    Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study

    Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study by Mutasim Baba, Fuad

    Published 2022
    “…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …”
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  7. 7
    Regression testing C# programs. (c2007)

    Regression testing C# programs. (c2007) by Staitieh, Wael

    Published 2007
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  8. 8
    Parallel genetic algorithm for disease-gene association

    Parallel genetic algorithm for disease-gene association by Mansour, Nashat

    Published 2011
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  9. 9
    The Role of KM in Enhancing AI Algorithms and Systems

    The Role of KM in Enhancing AI Algorithms and Systems by AlGhanem, Hani

    Published 2020
    “…However, studies were focusing on specific methods and the impact on some AI algorithms, neglecting the role of other KM processes and how it may affect the AI system to achieve the objective, which reduces the adoption in some organizations. …”
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  10. 10
    A genetic algorithm for testable data path synthesis

    A genetic algorithm for testable data path synthesis by Harmanani, H.

    Published 2017
    “…We follow the allocation method with an automatic test point selection algorithm that trades off design area and delay with test quality. …”
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  11. 11
    A hybrid genetic algorithm for task allocation in multicomputers

    A hybrid genetic algorithm for task allocation in multicomputers by Mansour, Nashat

    Published 2018
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  12. 12
    On sensor selection in mobile devices based on energy, application accuracy, and context metrics

    On sensor selection in mobile devices based on energy, application accuracy, and context metrics by Taleb, Sireen

    Published 2013
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  13. 13
    A comparative study of five regression testing algorithms

    A comparative study of five regression testing algorithms by Mansour, N.

    Published 1997
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  14. 14
    Simultaneous stabilization of multimachine power systems viagenetic algorithms

    Simultaneous stabilization of multimachine power systems viagenetic algorithms by Abdel-Magid, Y.L.

    Published 1999
    “…The power system operating at various conditions is treated as a finite set of plants. The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …”
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  15. 15
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
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  16. 16
    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs

    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs by Kouatli, Issam

    Published 2008
    “…Moreover, the proposed methodology may integrate well with object‐oriented technology. Originality/value – The paper presents standardization of the fuzzy sets selection and optimization technique used in any type of management information systems. …”
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  17. 17
    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems

    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems by Abdel Magid, Y.L.

    Published 2020
    “…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …”
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  18. 18
    Combining and adapting software quality predictive models by genetic algorithms

    Combining and adapting software quality predictive models by genetic algorithms by Azar, D.

    Published 2017
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  19. 19
    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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  20. 20
    Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodology

    Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog... by Mutasim Baba, Fuad

    Published 2023
    “…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. …”
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