P -values for SGHHO and other reported algorithms by Wilcoxon test on the benchmark function. حسب Qiong Wu (84327)

Different phases of HHO (Heidari et al.[16]). حسب Ting Yang (189879)

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... حسب Ali Talebi (7164203)

"…(b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. (c): The centroid of each cluster is determined by the K-means algorithm.…"

The parameters of the algorithms. حسب Yu Li (183836)

Supplementary Information حسب Songwei Liu (20040675)

الموضوعات:

“Integration and prediction” panel for CoV-human protein-protein interaction network. حسب Paolo Perlasca (9909695)

الموضوعات:

Mean RMSE and R² for the training and test phases of RBF by different training algorithms for temperature and humidity prediction. حسب Caixia Yan (6647072)

Mean RMSE and R² for the training and test phases of MLP by different training algorithms for temperature and humidity prediction. حسب Caixia Yan (6647072)

Performance of ENQUIRE’s gene normalization algorithm. حسب Luca Musella (19986312)

Benchmark functions. حسب Peiwen Zhang (1863202)

Phase stability at interfaces (dataset) حسب J Pitfield (21962924)

Population <i>versus</i> success rate for the Rosenbrock function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Population <i>versus</i> success rate for the Rastrigin function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Summary statistics for the number of function evaluations on real-world dataset—Phase I. حسب Fadi K. Dib (5204807)

Summary statistics for the values of objective function on real-world dataset—Phase II. حسب Fadi K. Dib (5204807)

Summary statistics for the values of objective function on real-world dataset—Phase I. حسب Fadi K. Dib (5204807)

Summary statistics for the number of function evaluations on real-world dataset—Phase III. حسب Fadi K. Dib (5204807)

TV-BayesOpt algorithm performance for tracking a superimposed (gradual and periodic) drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. حسب John E. Fleming (8533956)

"…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…"

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Mean and STD obtained by eight enhanced DEs and DEGH on benchmark functions at 30D. حسب Xuxu Zhong (10099054)

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