يعرض 1 - 16 نتائج من 16 نتيجة بحث عن 'linearization maximization algorithm*', وقت الاستعلام: 0.06s تنقيح النتائج
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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
    "…The optimum capacity of EH equipment, including photovoltaic and wind renewable energy sources, a combined heat and power system (CHP), a boiler, energy storage, and electric vehicles is determined in the day-ahead market using the improved Fick’s law algorithm (IFLA), considering the energy profit maximization and also satisfying the linear network and hub constraints. …"
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    Minimum UAV fog servers with maximum IoT devices association using genetic algorithms حسب Abbas, Nadine

    منشور في 2021
    "…We first formulate the problem as a multi-objective optimization problem which can be shown to be mixed-integer non-linear program (MINLP) and is NP-hard. We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. …"
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    conferenceObject
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    Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams حسب Eduardo Feo-Flushing (23276023)

    منشور في 2021
    "…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …"
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    Online Control and Optimization of Directional Drilling حسب unknown

    منشور في 2020
    "…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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    masterThesis
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    OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS حسب El-Amin, I.M.

    منشور في 2020
    "…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear lend. …"
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    article
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    Optimal shunt compensators at nonsinusoidal busbars حسب El-Amin, I.M.

    منشور في 1995
    "…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear load. …"
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    article
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    Uplink Noma in UAV-Assisted IoT Networks حسب Mrad, Ali

    منشور في 2022
    "…The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …"
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    masterThesis
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    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network حسب Sorkhoh, Ibrahim

    منشور في 2020
    "…After proving the NP-hardness of the scheduling problem, we formulated the problem as a mixed-integer linear program. A Dantzig–Wolfe decomposition algorithm is proposed which yields to a master program solvable by the Barrier algorithm and subproblems solve...…"
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    article
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    Energy-Efficient VoI-Aware UAV-Assisted Data Collection in Wireless Sensor Networks حسب Kalash, Saeddin

    منشور في 2025
    "…The proposed approach outperforms other algorithms, demonstrating higher efficiency in terms of UAV deployment, served SN, VoI and energy consumption.…"
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    masterThesis
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    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

    منشور في 2022
    "…</p> <h2>Conclusion</h2> <p> Genetic algorithms can be used along with finite element analysis and zigzag cutouts to tune the band gap of plates subjected to base-excitations. …"
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    Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors حسب Sharaf, Omar Z.

    منشور في 2016
    "…However, accurate design models and clear simulation algorithms on the component-level are critical for the proper system-level engineering and evaluation of CPVT collectors. …"
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    article
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    Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

    منشور في 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. …"