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  1. 1
    Scheduling IoT Requests to Minimize Latency in Fog Computing

    Scheduling IoT Requests to Minimize Latency in Fog Computing by Alikarar, Mazin Abdelbadea Nasralla

    Published 2017
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  2. 2
    Minimizing using BBO and DFO methods

    Minimizing using BBO and DFO methods by El Zeghondy, Jean

    Published 2022
    “…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …”
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  3. 3
    Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm

    Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm by Noor Habib Khan (22224775)

    Published 2024
    “…<p dir="ltr">The present study introduces a nature inspired improved liver cancer algorithm (ILCA) for solving the non‐convex engineering optimization issues. …”
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  4. 4
    Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment

    Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment by Omer, Dalia Fatahelrahman

    Published 2019
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  5. 5
    A new reactive power optimization algorithm

    A new reactive power optimization algorithm by Mantawy, A.H.

    Published 2003
    “…This paper presents an algorithm for optimizing reactive power using particle swarm algorithm. …”
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  6. 6
    Simulation and optimization of ant colony optimization algorithm for the stochastic uncapacitated location-allocation problem

    Simulation and optimization of ant colony optimization algorithm for the stochastic uncapacitated location-allocation problem by El Khoury, John

    Published 2016
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  7. 7
    An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure

    An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure by Fahmy, Ahmed

    Published 2020
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  8. 8
    Optimizing Energy Consumption In Cloud Datacenters

    Optimizing Energy Consumption In Cloud Datacenters by Khan, Mueez Ahmad

    Published 2024
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  9. 9
    ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation

    ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation by Said Mahfoud (17150968)

    Published 2022
    “…For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. …”
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  10. 10
    Natural optimization algorithms for the cross-dock door assignment problem

    Natural optimization algorithms for the cross-dock door assignment problem by Tarhini, Abbas A.

    Published 2016
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  11. 11
    Optimal selection of the forgetting matrix into an iterative learning control algorithm

    Optimal selection of the forgetting matrix into an iterative learning control algorithm by Saab, Samer S.

    Published 2005
    “…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …”
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  12. 12
    Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm

    Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm by Abido, M. A.

    Published 2005
    “…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …”
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  13. 13
    A Survey of cuckoo search algorithm: optimizer and new applications

    A Survey of cuckoo search algorithm: optimizer and new applications by Abualigah, Laith

    Published 2024
    “…The CS algorithm is further validated for solving numerous technological optimization challenges. …”
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  14. 14
    Multiobjective optimal power flow using strength Pareto evolutionary algorithm

    Multiobjective optimal power flow using strength Pareto evolutionary algorithm by Abido, M.A.

    Published 2004
    “…In this paper, a novel multiobjective evolutionary algorithm for optimal power flow (OPF) problem is presented. …”
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  15. 15
    An ant colony optimization algorithm to improve software quality prediction models

    An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

    Published 2011
    “…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …”
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  16. 16
    Optimizing Energy Consumption of Cloud Computing IaaS

    Optimizing Energy Consumption of Cloud Computing IaaS by Mohamed, Huda Ibrahim

    Published 2017
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  17. 17
    A Scatter search algorithm for exam scheduling. (c2006)

    A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

    Published 2006
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  18. 18
    GAP - A GENETIC ALGORITHM APPROACH TO OPTIMIZE 2-BIT DECODER PLAS

    GAP - A GENETIC ALGORITHM APPROACH TO OPTIMIZE 2-BIT DECODER PLAS by Benten, M. S.

    Published 2020
    “…This paper describes a minimization procedure that uses a genetic algorithm approach to reduce the size to the two bit decoder PLAs. …”
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  19. 19
    A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem

    A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem by Abido, M.A.

    Published 2003
    “…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …”
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  20. 20
    A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm

    A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm by Harmanani, Haidar M.

    Published 2017
    “…The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …”
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