Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

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

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

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

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Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

The comparison results of different algorithms on CEC2019 functions. by Yu Li (183836)

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algor... by Daniela Huppenkothen (9174507)

“…We note that the middle row is a special case: here, <i>f</i>_target only corresponds to the proportions of the embedded cohort, while “success” for these two panels is defined as recovering maximally diverse cohorts, as this particular algorithm is designed to do. The bottom row shows the same simulations as the middle row, but presents successes and failures when the targets that generated the embedded cohort are applied instead of the balanced targets that are part of the baseline’s objective function. …”

Performance profiles of these algorithms on the basis of the number of function evaluations. by Xianfeng Ding (535904)

SARS-CoV-2—human protein complex map showing complexes identified by Super.Complex. by Meghana Venkata Palukuri (11890672)

Illustration of the perturbation of the protein relationship network and NECARE algorithm. by Jiajun Qiu (4684921)

Attack and defense behaviors with the sensory–motor algorithm between a single predator and a single prey. by Hiroyuki Ichijo (13891153)

Activation functions: Sigmoid function and ReLU function. by Wan-Hua Zhang (21601139)

Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

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Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

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

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Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 100. by Haiming Du (6691646)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 30. by Haiming Du (6691646)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 50. by Haiming Du (6691646)

Functional fitness test results of different algorithms. by Ling Zhao (111365)

Verification of the in-line PS function. by Raul Castañeda (13932971)