A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

Convergence curves on the functions CL4, CL11, CL13, CL14, CL18, CL19, C17F1, C17F2, and C17F4. حسب Mahmood A. Jumaah (22272371)

Results obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Convergence curves obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Different algorithms in 23 benchmark functions to obtain partial boxplot. حسب Yuqi Xiong (12343771)

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Results obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

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Cumulative density function (CDF) of prediction error (PE, achieved spherical equivalent–formula predicted spherical equivalent) for the SRKT, Hoffer Q, Holladay1, Haigis (with opt... حسب Achim Langenbucher (3156741)

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Convergence curves obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

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The optimization result of 10 benchmark functions for different algorithms (D = 10). حسب Yu Li (183836)

The optimization result of 10 benchmark functions for different algorithms (D = 30). حسب Yu Li (183836)

The result of CEC2010 standard functions for different algorithms (D = 30). حسب Yu Li (183836)

The optimization result of 10 benchmark functions for different algorithms (D = 100). حسب Yu Li (183836)

The convergence curves of the function in different dimensions. حسب Yu Li (183836)

Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

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

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Functional effect prediction of FUS mutations by ten nsSNP prediction algorithms. حسب L. F. S. Bonet (11502082)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…In `main.py`, the parameters for the TAMS algorithm are specified (trajectory time, time step, score function, number of particles, type of score threshold, maximum number of iterations, noise level etc.). …"

Fuzzy membership function for yaw with . حسب Yasir Mehmood (744452)

Convergence curves of multimodal functions <i>f</i>₇. حسب Yu Li (183836)

Convergence curves of unimodal functions <i>f</i>₂. حسب Yu Li (183836)