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  1. 21
    The buffered work-pool approach for search-tree based optimization algorithms

    The buffered work-pool approach for search-tree based optimization algorithms by Abu-Khzam, Faisal N.

    Published 2017
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  2. 22
    Natural optimization algorithms for optimal regression testing

    Natural optimization algorithms for optimal regression testing by Mansour, Nashat

    Published 1997
    “…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
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  3. 23
    Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications

    Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications by Daoud, Mohammad Sh.

    Published 2023
    Subjects: “…Gradient-Based Optimizer…”
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  4. 24
    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)

    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) by Korkmaz, Rita

    Published 2008
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  5. 25
    An improved quorum selection algorithm (IQSA). (c2007)

    An improved quorum selection algorithm (IQSA). (c2007) by Younes, Samer

    Published 2007
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  6. 26
    Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008)

    Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008) by Kanj, Fatima Hassan

    Published 2008
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  7. 27
    Animal migration optimization algorithm: novel optimizer, analysis, and applications

    Animal migration optimization algorithm: novel optimizer, analysis, and applications by Abualigah, Laith

    Published 2024
    “…A new heuristic optimization algorithm was proposed in 2013 called the animal migration optimization (AMO) algorithm. …”
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  8. 28
    Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants

    Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants by Asad Hussain (10135049)

    Published 2022
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  9. 29
    EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach

    EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach by Muhammad Adeel Asghar (6724982)

    Published 2019
    “…To reduce the feature dimensionality, spatial, and temporal based, bag of deep features (BoDF) model is proposed. …”
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  10. 30
    Data mining approach to predict student's selection of program majors

    Data mining approach to predict student's selection of program majors by SIDDARTHA, SHARMILA

    Published 2019
    “…There is an opportunity to apply data mining to arrive at a model to predict student selection of a major. …”
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  11. 31
    A genetic algorithm for testable data path synthesis

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

    Published 2017
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  12. 32
    A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems

    A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems by Faria Nawshin (21841598)

    Published 2025
    “…Given that Android applications are frequent targets for malware, ensuring the integrity of FL-based malware detection systems is critical. We introduce an attack framework that integrates Genetic Algorithms (GA) with two prominent adversarial techniques, namely, the Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD), specifically designed for FL environments. …”
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  13. 33
    Nested ensemble selection: An effective hybrid feature selection method

    Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

    Published 2023
    “…The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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  14. 34
    Social spider optimization algorithm: survey and new applications

    Social spider optimization algorithm: survey and new applications by Abualigah, Laith

    Published 2024
    “…This survey studied the SSO and compared it with other PSO algorithms to find the best-performing algorithm based on a benchmark. …”
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  15. 35
    Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems

    Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems by Khaled Dhibi (16891524)

    Published 2023
    “…First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …”
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  16. 36
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  17. 37
    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization

    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization by Abu Zitar, Raed

    Published 2022
    “…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …”
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  18. 38
    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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  19. 39
    Multi-marker-LD based genetic algorithm for tag SNP selection

    Multi-marker-LD based genetic algorithm for tag SNP selection by Mansour, Nashat

    Published 2014
    “…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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  20. 40
    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

    Published 2022
    “…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…”
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