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Showing 1 - 11 results of 11 for search '(( binary basic codon optimization algorithm ) OR ( primary aim based optimization algorithm ))*', query time: 0.11s Refine Results
  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
    “…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
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  2. 2
    Multiclass feature selection with metaheuristic optimization algorithms: a review

    Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

    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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  3. 3
    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…The algorithm presented aims to solve the FS problem and has been assessed using benchmark optimization problems from the CEC’2017 and CEC’2022. …”
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  4. 4
    Design and Optimization of a Planar Cable Robot

    Design and Optimization of a Planar Cable Robot by Kassem, Mohamad Hassan

    Published 2020
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  5. 5
    A modified optimal design of a vibration absorber for ground motion isolation

    A modified optimal design of a vibration absorber for ground motion isolation by Issa, Jimmy S.

    Published 2014
    “…In this work, the unique optimal absorber parameters are determined with the aim of minimizing the maximum of the primary system amplitude. …”
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  6. 6
    Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks

    Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks by Amirhossein Taherpour (19273879)

    Published 2024
    “…Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. …”
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  7. 7
    Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach

    Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach by El Gohary, Youssef Hesham

    Published 2024
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  8. 8
    AI-based remaining useful life prediction and modelling of seawater desalination membranes

    AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

    Published 2024
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  9. 9
    Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas

    Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas by Marwan Dhuheir (19170898)

    Published 2024
    “…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …”
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  10. 10
    Design of a vibration absorber for harmonically forced damped systems

    Design of a vibration absorber for harmonically forced damped systems by Issa, Jimmy

    Published 2013
    “…The absorber is placed between the primary system and the supporting ground. The optimal absorber parameters are obtained with the aim of minimizing the maximum of the primary system frequency response. …”
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  11. 11
    From Collatz Conjecture to chaos and hash function

    From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

    Published 2023
    “…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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