Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

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Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values. by Roukayatou R. Ouedraogo (20460980)

SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

MS results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

“…<p>Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.…”

Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

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The parameters of algorithms. by Le Huu Binh (18340233)

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The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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CEC2017 test function images and iteration curves of different algorithms. by Tengfei Ma (597633)

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Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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