بدائل البحث:
catenin function » catenin functional (توسيع البحث), cohesin function (توسيع البحث), hardening function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
test functions » loss functions (توسيع البحث)
catenin function » catenin functional (توسيع البحث), cohesin function (توسيع البحث), hardening function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
test functions » loss functions (توسيع البحث)
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FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz
منشور في 2025الموضوعات: -
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SP results of algorithms in the CEC 2009 test functions.
منشور في 2025"…<p>SP results of algorithms in the CEC 2009 test functions.</p>…"
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Convergence curves of various algorithms under test functions.
منشور في 2025"…<p>Convergence curves of various algorithms under test functions.</p>…"
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MS results of algorithms in the CEC 2009 test functions.
منشور في 2025"…<p>MS results of algorithms in the CEC 2009 test functions.</p>…"
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Convergence curves of various algorithms under test functions.
منشور في 2025"…<p>Convergence curves of various algorithms under test functions.</p>…"
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ANOVA tests for Benchmark functions.
منشور في 2025"…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …"
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Functional fitness test results of different algorithms.
منشور في 2025"…<p>Functional fitness test results of different algorithms.…"
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Benchmark test functions.
منشور في 2025"…In addition, to verify the performance and robustness of LLSKSO, comparison experiments between LLSKSO and 10 well-known algorithms are conducted on 50 benchmark test functions. …"
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Convergence graphs of CEC2021 test functions.
منشور في 2025"…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …"
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"
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Algorithm testing.
منشور في 2024"…The solutions are expressed in terms of the Lambert W function and solved using a special transcendental function approach called Special Trans Function Theory (STFT). …"
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Test functions.
منشور في 2025"…An extensive evaluation of DGEP occurred through symbolic regression problem tests. The study employed traditional benchmark functions and conducted evaluations versus baselines Standard GEP, NMO-SARA, and MS-GEP-A to assess fitness outcomes, R² values, population diversification, and the avoidance of local optima. …"
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
منشور في 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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