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  1. 1
    Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems

    Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems by Abualigah, Laith

    Published 2023
    Subjects: “…Prairie dog optimization algorithm…”
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  2. 2
    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization

    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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  3. 3
    Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images

    Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images by Abu Zitar, Raed

    Published 2023
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  4. 4
    Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)

    Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012) by Bitar, Mandy

    Published 2012
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  5. 5
    Teaching–learning-based optimization algorithm: analysis study and its application

    Teaching–learning-based optimization algorithm: analysis study and its application by Abualigah, Laith

    Published 2024
    Subjects: “…Teaching–learning-based optimization algorithm…”
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  6. 6
    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting

    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting by AlSayegh, Hadeel Yacoub

    Published 2011
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  7. 7
    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter

    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter by Syed Rahman (569240)

    Published 2019
    “…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”
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  8. 8
    Application of Red Deer Algorithm in Optimizing Complex functions

    Application of Red Deer Algorithm in Optimizing Complex functions by Zitar, Raed

    Published 2021
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  9. 9
    Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller

    Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller by Sk. A., Shezan

    Published 2023
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  10. 10
    A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)

    A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

    Published 2011
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  11. 11
    Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach

    Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)

    Published 2025
    “…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …”
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  12. 12
    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering

    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

    Published 2022
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  13. 13
    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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  14. 14
    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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  15. 15
    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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  16. 16
    Tensile Test Optimization Using the Design of Experiment and Soft Computing

    Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

    Published 2023
    “…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
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  17. 17
    The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm

    The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm by Abu Doush, Iyad

    Published 2017
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  18. 18
    The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm

    The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm by Abou Doush, Iyad

    Published 2017
    “…In evolutionary multi-objective optimization, an evolutionary algorithm is invoked to solve an optimization problem involving concurrent optimization of multiple objective functions. …”
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  19. 19
    Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks

    Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks by Abasi, Ammar

    Published 2023
    “…Coronavirus herd immunity optimizer (CHIO) is a recent metaheuristic human-based algorithm stemmed from the herd immunity mechanism as a way to treat the spread of the coronavirus pandemic. …”
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  20. 20
    A multi-objective planning approach for optimal DG allocation for droop based microgrids

    A multi-objective planning approach for optimal DG allocation for droop based microgrids by Shaaban, Mostafa

    Published 2021
    “…The proposed formulation is compared to existing planning algorithms for droop-based microgrids. The re-sults show that including the secondary control region in the optimization problem achieves lower volt-age deviations and no frequency deviations at all demand levels. …”
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