Showing 1 - 20 results of 11,282 for search '(((( algorithm which function ) OR ( algorithm wave function ))) OR ( algorithm three function ))', query time: 1.31s Refine Results
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    Pseudo-code of DMDDPG algorithm. by Guohua Cao (697580)

    Published 2025
    “…The simulation results indicate that the proposed algorithm, which models the first three joints and the last three joints of the robotic arm as multi-agents, demonstrates not only enhanced adaptability but also faster and more stable convergence.…”
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    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
    “…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
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    Genetic algorithm flowchart. by Junjie He (700642)

    Published 2024
    Subjects: “…coverage attenuation function…”
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    The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …”
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    The IALO algorithm solution flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …”
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    Comparison of algorithm search curves. by Bowen Li (200859)

    Published 2023
    “…At the same time, the characteristics of Gaussian function are introduced to ensure the activity of hidden layer neurons. …”
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    Benchmarking functions. by Guilin Yang (583364)

    Published 2024
    “…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”
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    An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions by Minh Pham (2458399)

    Published 2021
    “…<p>Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. We propose an algorithm to minimize this type of objective functions based on the idea of alternating linearization. …”
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