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Showing 1 - 20 results of 2,623 for search '(( algorithm python function ) OR ( ((algorithm within) OR (algorithm flow)) function ))', query time: 0.55s Refine Results
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    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    Published 2025
    “…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”
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    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
    “…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…”
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    Flow chart of the PSOGSA scenario. by Nada Ahmed Ezz-Eldien (17396553)

    Published 2023
    Subjects: “…gravitational search algorithm…”
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    The flow chart of the proposed PSOGSAHO scenario. by Nada Ahmed Ezz-Eldien (17396553)

    Published 2023
    Subjects: “…gravitational search algorithm…”
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    Algorithmic flow of the verifiable delay function. by Xinhao Zheng (16637664)

    Published 2024
    “…<p>Algorithmic flow of the verifiable delay function.</p>…”
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    Model intrinsic parameter flow. by Dawei Wang (471687)

    Published 2025
    “…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”
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