Search Results - (simulation OR situation) optimization

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  1. Solving the machine set-up problem:a case with a university production workshop.

    Published 2009
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  2. Solving the machine set-up problem:a case with a university production workshop.

    Published 2009
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    Article
  3. Hierarchical model predictive control of a venlo-type greenhouse

    Published 2023
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    Thesis
  4. Fluid-Structure Interaction of NREL 5-MW Wind Turbine by Abd-Elhay, Mohamed Sayed Elkady

    Published 2021
    “…So, a 2-way coupling simulation is implemented to optimize the blade deformation to protect it from hitting the tower, mitigate the effect of cyclic loading, and prevent the blade stall. …”
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  5. Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

    Published 2022
    “…Unlike other optimization methods such as numerical and soft computing techniques, RL does not require an accurate model of the optimization environment in order to arrive at an optimal solution. …”
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  6. Traffic Engineering using Multipath Routing Approaches by Mazandu, Gaston Kuzamunu

    Published 2008
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  7. Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks by Afifi, Ghada

    Published 2024
    “…We provide a comparative evaluation of the set of algorithms that we proposed and demonstrate the recommended use case scenario for each of these trajectory planning solutions. Our simulation results show that our proposed machine learning-based approaches provide near optimal solutions to the formulated UAV localization and trajectory planning problems, with comparable accuracy to the optimal bound while meeting the real-time calculation requirement.…”
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  8. The development of CAD software for manufacturing flat-face and roller cam systems

    Published 2012
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    Conference Proceeding
  9. Distributed IP mobility management for hosts and networks by Ernest, Petro Pesha

    Published 2014
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  10. Hatchery production optimisation using Monte Carlo approach

    Published 2012
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  11. Computational intelligent systems : evolving dynamic Bayesian networks by Osunmakinde, Isaac Olusegun

    Published 2014
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  12. Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

    Published 2020
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  13. Spatial model for the management of a system of infrastructure facilities by Omar, Sherif

    Published 2014
    “…The optimization is performed in terms of a limited budget and a pre-defined duration. …”
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  14. Load Balancing in Mobile Networks Using Deep Reinforcement Learning and Traffic Prediction by Raafat Mokhtar Abouamasha, Shorouk

    Published 2025
    “…The first proposed approach introduces an enhanced self-optimization framework using deep reinforcement learning (RL) to dynamically adjust network parameters such as handover parameters, power levels, and MIMO technology. …”
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  15. Methods that improve high frequency Single Flux Quantum electronics design by Le Roux, Paul

    Published 2021
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  16. Discrete element modeling of a vibratory subsoiler by Van der Linde, Jaco

    Published 2008
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  17. Implicit fear-based virtual reality exposure therapy paradigm for use in low income environments by Crockart, Ivan Calitz

    Published 2022
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  18. Predictive Maintenance: Leveraging Hybrid LSTM-CNN Architectures for Enhanced Performance by El Sadeek, Kamal Mohamed

    Published 2025
    “…The RMSE decreased from 0.35 in the initial model to 0.091 after optimization, reflecting a 73 percent improvement. To further explore performance tuning, both Genetic Algorithm and Hyperband optimization strategies were applied. …”
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  19. Energy efficiency control of direct expansion air conditioning systems

    Published 2018
    “…The upper level is an open loop optimal controller to generate the optimal setpoints of indoor CO2 concentration, relative humidity and air temperature for the lower level controller. …”
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  20. Multi-purpose applications of energy storage systems in a power system network by Okafor, Chukwuemeka Emmanuel

    Published 2025
    “…This approach simplifies and enhances the optimization of the multi-objective functions without relying on weighting factors, which are commonly used in many multi-objective optimizations. …”
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