Showing 2,001 - 2,020 results of 15,618 for search 'computing optimizing 4', query time: 0.18s Refine Results
  1. 2001
  2. 2002
  3. 2003

    Optimization of emergency logistics for urban flooding with consideration of rainfall effects by Peiwen Zhang, Chenxing Zhang, Pan Zhang, Xuxian Yan, Huawei Yang

    Published 2025-08-01
    “…This study proposes a two-stage optimization framework for emergency logistics. First, a supply distribution model is developed by integrating resource scarcity indices and disaster severity indices, optimized through a simulated annealing algorithm. …”
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    Article
  4. 2004
  5. 2005
  6. 2006
  7. 2007

    Global–Local Cooperative Optimization in Photonic Inverse Design Algorithms by Mingzhe Li, Tong Wang, Yi Zhang, Yulin Shen, Jie Yang, Ke Zhang, Dehui Pan, Ming Xin

    Published 2025-07-01
    “…Compared to the conventional Direct Binary Search (DBS), the GLINT algorithm not only significantly enhances computational efficiency through its global search–local refinement framework but also achieves a superior 20 nm × 20 nm optimization resolution while maintaining its optimization speed—substantially advancing the design capability. …”
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    Article
  8. 2008

    Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning by Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis

    Published 2025-04-01
    “…These algorithms are computationally costly, so we split optimization into an offline phase (costly pre-training for a route) and an online phase where the algorithms are fine-tuned as updated weather data become available. …”
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    Article
  9. 2009
  10. 2010
  11. 2011

    Fractional Optimizers for LSTM Networks in Financial Time Series Forecasting by Mustapha Ez-zaiym, Yassine Senhaji, Meriem Rachid, Karim El Moutaouakil, Vasile Palade

    Published 2025-06-01
    “…This study investigates the theoretical foundations and practical advantages of fractional-order optimization in computational machine learning, with a particular focus on stock price forecasting using long short-term memory (LSTM) networks. …”
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    Article
  12. 2012

    Application of Optimal Control Method to Path Tracking Problem of Vehicle by Yingjie Liu, Enhao Wang

    Published 2024-01-01
    “…Firstly, a nonlinear 4-DOF vehicle model is established. Secondly, the path optimization problem of vehicle is transformed into a nonlinear programming problem(NLP) by discretizing both control variables and state variables using the local collocation method. …”
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  13. 2013
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  20. 2020