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Showing 1 - 20 results of 222 for search '(( element method algorithm ) OR ((( task scheduling algorithm ) OR ( most learning algorithm ))))', query time: 0.14s Refine Results
  1. 1
    GENETIC SCHEDULING OF TASK GRAPHS

    GENETIC SCHEDULING OF TASK GRAPHS by Benten, M. S.

    Published 2020
    “…A genetic algorithm for scheduling computational task graphs is presented. …”
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  2. 2
    GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing

    GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing by Abualigah, Laith

    Published 2024
    “…In this article, we introduce GIJA (Geyser‐inspired Jaya Algorithm), a novel optimization approach tailored for task scheduling in cloud computing environments. …”
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  3. 3
    Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing

    Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing by Abualigah, Laith

    Published 2024
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  4. 4
    Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment

    Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment by Sachi Gupta (19560268)

    Published 2022
    “…Among these methods, the Heterogeneous Earliest Finish Time (HEFT) algorithm is recognized to produce optimal outcomes in a shorter time period for scheduling tasks in a heterogeneous environment. …”
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  5. 5
    Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center

    Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center by Kandil, Ayman

    Published 2024
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  6. 6
    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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  7. 7
    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link

    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

    Published 2023
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  8. 8
    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments

    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments by Barada, Hassan

    Published 2020
    “…Abstract This paper applies a simulated evolution (SE) approach to the problem of matching and scheduling dependent tasks in a heterogeneous suite of computers interconnected via a high-speed network. …”
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  9. 9
    Optimizing Energy Consumption of Cloud Computing IaaS

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

    Published 2017
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  10. 10
    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

    Published 2016
    “…Several nonlinear optimization models were developed for this purpose assuming uniform resource availability and sequence based project tasks. The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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  11. 11
    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing

    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing by Al Sadawi, Alia

    Published 2016
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  12. 12
    A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995)

    A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995) by Moujabber, Bassam N.

    Published 1995
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  13. 13
    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain

    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain by Al Sadawi, Alia

    Published 2021
    “…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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  14. 14
    A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System

    A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System by Muhammad Asim (2235472)

    Published 2021
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  15. 15
    MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments

    MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments by Hend Gedawy (23275984)

    Published 2022
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  16. 16
    On the Optimization of Band Gaps in Periodic Waveguides

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
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  17. 17
    Optimizing Energy Consumption In Cloud Datacenters

    Optimizing Energy Consumption In Cloud Datacenters by Khan, Mueez Ahmad

    Published 2024
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  18. 18
    Learning control algorithms for tracking "slowly" varying trajectories

    Learning control algorithms for tracking "slowly" varying trajectories by Saab, Samer S.

    Published 1997
    “…To date, most of the available results in learning control have been utilized in applications where a robot is required to execute the same motion over and over again, with a certain periodicity. …”
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  19. 19
    CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments

    CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments by Ishaq Ansari (22047902)

    Published 2024
    “…We propose a cooperative, load-balancing task allocation and scheduling algorithm based on sequential single-item auctions (CoLoSSI) that explicitly considers the non-atomicity of tasks, promotes synergies between agents, and enables cooperation while maintaining computational tractability. …”
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  20. 20
    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise

    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise by Saab, Samer S.

    Published 2005
    “…This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …”
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