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

A bar chart for the values of objective function—Phase I. by Fadi K. Dib (5204807)

A bar chart for the number of function evaluations—Phase I. by Fadi K. Dib (5204807)

One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

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 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>]).…”

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

The results of the Friedman and Kruskal-Wallis tests for all algorithms at <i>D</i> = 30, 50, 100. by Xuxu Zhong (10099054)

Subjects:

The Wilcoxon’s rank-sum test results for all algorithms at <i>D</i> = 30, 50, 100. by Xuxu Zhong (10099054)

Subjects:

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

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

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

WSN optimized by different algorithms. by Qingwen Meng (156386)

Subjects:

Compare algorithm parameter settings. by Qingwen Meng (156386)

Subjects:

Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

Alpha Max Plus Beta Min Algorithm and Arctangent Calculation using Simulink by Ara A. Assim (12512428)

Flowchart of the general algorithm for one trial. by Junying Wang (509009)