يعرض 41 - 60 نتائج من 235 نتيجة بحث عن '(((( based scheduling algorithm ) OR ( data finding algorithm ))) OR ( element data algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem حسب Tao Li (86810)

    منشور في 2025
    "…After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …"
  3. 43

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

    منشور في 2020
    "…A genetic algorithm for scheduling computational task graphs is presented. …"
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    article
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    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

    منشور في 2022
    "…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
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    Optimal supercharge scheduling of electric vehicles حسب Atallah, Ribal F.

    منشور في 2018
    "…The distributed game-theoretical approach recorded promising results especially when compared to the well-known shortest job first scheduling algorithm. Further, unlike the other approaches, which normally are centralized and suited for offline scheduling, the game-based method is suited for online scheduling since it played at anytime a batch of EVs requests charging services. …"
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    article
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    MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments حسب Hend Gedawy (23275984)

    منشور في 2022
    "…For MAESTRO, we build an integrated architecture that includes two new scheduling algorithms for assigning computing workloads to FemtoClouds. …"
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    Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg... حسب Ali S. Alghamdi (12722891)

    منشور في 2023
    "…In this paper, the scheduling and management framework of an energy hub (EH) is presented with the aim of energy profit maximization in partnership with electricity, natural gas, and district heating networks (EGHNs) considering the coordinated multi-energy management based on the day-ahead market. …"
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    Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm حسب Ali S. Alghamdi (17541711)

    منشور في 2023
    "…The proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO, particle swarm optimization (PSO), and salp swarm algorithm (SSA). …"
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    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

    منشور في 2022
    "…An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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  15. 55

    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk حسب Mohamed Chaouch (17983846)

    منشور في 2025
    "…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"
  16. 56

    Tabu Search For A Class Of Single-Machine Scheduling Problems حسب Al-Turki, Umar

    منشور في 2020
    "…In this paper we develop a tabu search-based solution procedure designed specifically for a certain class of single-machine scheduling problems with a non-regular performance measure. …"
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    article
  17. 57

    An efficient method for the open-shop scheduling problem using simulated annealing حسب Harmanani, Haidar M.

    منشور في 2016
    "…This paper presents a simulated annealing algorithm in order to solve the nonpreemptive open-shop scheduling problem with the objective of minimizing the makespan. …"
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  18. 58

    Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

    منشور في 2020
    "…In this paper, we propose a Fog Scheduling Decision model based on reinforcement R-learning, which focuses on studying the behavior of service requesters and produces a suitable fog placement schedule based on the concept of average reward. …"
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