Effect of <i>|Δd</i>_<i>n</i><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

“…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”

The comparison results of different algorithms on 23 benchmark functions with D=30. by Yu Li (183836)

The comparison results of different algorithms on CEC2017 functions with D=30. by Yu Li (183836)

Result of benchmark functions. by Mingjun Li (178925)

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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)

Phase diagram for global archetype model as a function of temperature. by Giulio Ruffini (383994)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

Pseudo algorithm of the GA algorithm used in this study. by Tuan Anh Pham (1346049)

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Convergence curves for SGHHO and advanced algorithms on 9 selected benchmark functions. by Qiong Wu (84327)

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

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

TV-BayesOpt algorithm performance for tracking a gradual drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by 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.…”

TV-BayesOpt algorithm performance for tracking a periodic drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by 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.…”

Comparison of benchmark function results between traditional algorithms with 60 dimensions. by Xiaoyi Zhang (577299)

Box plots of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022 functions (dim = 20). by Qingwen Meng (156386)

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Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

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Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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