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  1. 3861

    Shape Optimization of a Labyrinth Seal Applying the Simulated Annealing Method by V. Schramm, J. Denecke, S. Kim, S. Wittig

    Published 2004-01-01
    “…In the present work, an environment for the shape optimization of a labyrinth seal is described. A program for a parameterized, automated grid generation is coupled with a commercial Computational Fluid Dynamics (CFD) flow solver and an optimization algorithm. …”
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    Article
  2. 3862

    Adaptive Dynamic Programming with Reinforcement Learning on Optimization of Flight Departure Scheduling by Hong Liu, Song Li, Fang Sun, Wei Fan, Wai-Hung Ip, Kai-Leung Yung

    Published 2024-09-01
    “…Comparative analyses with alternative approaches, including the branch and bound algorithm for static conditions and the first-come, first-served (FCFS) algorithm for routine scenarios, are conducted. …”
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  3. 3863

    Reliability-Based Optimization of Impeller Structure Using Exponential Function Approximation by Haiwei Lin, Yiqun Ren, Hong Bao, Feng Zhang, Feifei Zhao, Xiya Bao

    Published 2025-06-01
    “…Then, the obtained explicit exponential function approximation is used to decouple the reliability-based optimization problem and transform it into an equivalent deterministic optimization problem, where a general optimization algorithm can be adopted to solve steadily with a neglectable computational cost. …”
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  4. 3864
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  6. 3866

    An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

    Published 2025-05-01
    “…The first step calculates and stores distances and paths between product locations using the A* algorithm, enabling reuse in subsequent computations. …”
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  7. 3867

    METHOD OF SIMULTANEOUS OPTIMIZATION OF RADIO DEVICES PERFORMANCE IN FREQUENCY AND TIME DOMAINS by A. V. Smirnov

    Published 2018-12-01
    “…A new method of searching for optimal transfer functions of radio circuits and devices was developed. …”
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  8. 3868

    Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach by Zekang Lan, Shiwei He, Rui Song, Sijia Hao

    Published 2019-01-01
    “…Moreover, the proposed algorithm is greatly superior to GUROBI in terms of computational efficiency and guarantees the quality of the solution.…”
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  9. 3869
  10. 3870

    Identifying a Global Optimizer with Filled Function for Nonlinear Integer Programming by Wei-Xiang Wang, You-Lin Shang, Lian-Sheng Zhang

    Published 2011-01-01
    “…A corresponding filled function algorithm is established. Numerical experiments on several test problems are performed, and preliminary computational results are reported.…”
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  11. 3871
  12. 3872

    Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

    Published 2025-05-01
    “…In this enhanced equilibrium optimizer (EEO), the Fisher score and accuracy score of the K-Nearest Neighbors (KNN) algorithm select the attributes optimally, whereas the synthetic minority oversampling technique combined with iterative partitioning filters (SMOTE-IPF) used to provide class balancing. …”
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  13. 3873

    Well Placement Optimization for Fractured Reservoirs: Coupling StoSAG and EDFM by Jianchun Xu, Wanhang Guo, Wenxin Zhou

    Published 2022-01-01
    “…The steepest ascent algorithm is used to find the optimal well placement. …”
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  14. 3874
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  18. 3878

    Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads by Peng Peng, Langchao Gao, Jiachun Li, Hongzhen Zhang

    Published 2025-04-01
    “…To enable efficient detection, this study proposes a rockfall detection system based on embedded technology and an improved Yolov8 algorithm, termed Yolov8-GCB. The algorithm enhances detection performance through the following optimizations: (1) integrating a lightweight DeepLabv3+ road segmentation module at the input stage to generate mask images, which effectively exclude non-road regions from interference; (2) replacing Conv convolution units in the backbone network with Ghost convolution units, significantly reducing model parameters and computational cost while improving inference speed; (3) introducing the CPCA (Channel Priori Convolution Attention) mechanism to strengthen the feature extraction capability for targets with diverse shapes; and (4) incorporating skip connections and weighted fusion in the Neck feature extraction network to enhance multi-scale object detection. …”
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  19. 3879
  20. 3880

    Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization by Sumet Mehta, Fei Han, Muhammad Sohail, Bhekisipho Twala, Asad Ullah, Fasee Ullah, Arfat Ahmad Khan, Qinghua Ling

    Published 2025-05-01
    “…Traditional optimization algorithms often produce inconsistent and suboptimal results, while failing to preserve local data structures limiting both predictive accuracy and biological interpretability. …”
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