Search Results - parallel mechanical genetic algorithm

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  1. 1
    Application Of Genetic Algorithms For Robust Parameter Optimization

    Application Of Genetic Algorithms For Robust Parameter Optimization by Belavendram, N.

    Published 2010
    “…Populations evolve towards the fittest individuals. Such a mechanism has a parallel application in parameter optimization. …”
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  2. 2
    Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm

    Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm by Najihah, S. N., Shayfull, Z., Nasir, S. M., Mohd Sazli, Saad, Rashidi, M. M., Fathullah, M., Noriman, N. Z.

    Published 2016
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  3. 3
    Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm

    Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm by Taleghani, Hussein

    Published 2017
    “…The second strategy is based on Standard Genetic Algorithm (SGA). Lastly, the third strategy is utilizing Improved Adaptive Genetic Algorithm (IAGA). …”
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  4. 4
    Process Planning Optimization In Reconfigurable Manufacturing Systems

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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  5. 5
    Adaptive genetic algorithm to improve negotiation process by agents e-commerce

    Adaptive genetic algorithm to improve negotiation process by agents e-commerce by Ebadi, Sahar

    Published 2011
    “…Second contribution is made by applying an improved genetic algorithm in offer generation mechanism and producing high quality, mutually acceptable offers. …”
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  6. 6
    Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism

    Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism by Khalil Abd., Sura

    Published 2017
    “…In this study, to improve the utilization of cloud resources and reduce the energy consumption of datacenters, a combination of energy-aware resource allocation and scheduling mechanism including DNA based Fuzzy Genetic Algorithm (DFGA) is proposed. …”
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  7. 7
    Multi-objectives process optimization in end milling process of aluminium alloy 6061-T6 using genetic algorithm

    Multi-objectives process optimization in end milling process of aluminium alloy 6061-T6 using genetic algorithm by W., Safiei, Rahman, M. M., M.Y., Ali

    Published 2024
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  8. 8
    Energy-aware scheduling optimization in hybrid flow shops using artificial bee colony algorithm

    Energy-aware scheduling optimization in hybrid flow shops using artificial bee colony algorithm by Mohd Abdul Hadi, Osman, Mohd Fadzil Faisae, Ab Rashid, Nik Mohd Zuki, Nik Mohamed, Muhammad Ammar, Nik Mu’tasim

    Published 2024
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  9. 9
    Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization

    Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization by M. F. F., Ab Rashid, Ahmad Nasser, Mohd Rose, N. M. Zuki, N. M.

    Published 2022
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  10. 10
    A new "Mammy" in the age of digitalization; human insecurity versus utopian affective algorithms in Kazuo Ishiguro's Klara and The Sun

    A new "Mammy" in the age of digitalization; human insecurity versus utopian affective algorithms in Kazuo Ishiguro's Klara and The Sun by Mohamed Ahmed, Alshaymaa Mohamed

    Published 2024
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  11. 11
    Hybrid metaheuristics for QOS-aware service composition / Hadi Naghavipour

    Hybrid metaheuristics for QOS-aware service composition / Hadi Naghavipour by Hadi , Naghavipour

    Published 2022
    “…Finally, this thesis revealed a parallel hybrid metaheuristic architecture and monitoring mechanism to provide immunity against premature convergence when the composition is performed in a subset of search space as the output of rough set-based heuristics. …”
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