Average mean values by algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

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<i>S</i>_<i>c</i> and rank of DSRABSQL and VDWOA algorithms in <i>G</i>_<i>1</i>. by Jin Zhang (53297)

<i>S</i>_<i>c</i> and rank of DSRABSQL and VDWOA algorithm in <i>G</i>_<i>2</i>. by Jin Zhang (53297)

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

“…<p>Performance profile of the four algorithms based on the function value of iteration number.…”

<i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i>_<i>td</i> for rat575 obtained by three algorithms. by Jin Zhang (53297)

<i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i>_<i>td</i> of ch150 obtained by three algorithms. by Jin Zhang (53297)

<i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i>_<i>td</i> of fl1400 obtained by three algorithms. by Jin Zhang (53297)

The evaluation index data of bench images processed by various denoising algorithms. by Wuyi Li (2984439)

The evaluation index data of waterfall images processed by various denoising algorithms. by Wuyi Li (2984439)

Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period antic... by John E. Fleming (8533956)

“…<p>The performance of a scheduler (green line), the TV-BayesOpt with a periodic temporal covariance function (purple line) and the TV-BayesOpt with a periodic and smooth forgetting covariance algorithm were estimated by calculating the AUC value for the associated cumulative regret plot for each implementation at different offset in the true temporal period.…”

The <i>N</i>_<i>min</i> of DSRABSQL and VDWOA algorithms obtained by testing kroa100, ch150, d198, fl417 50 times, respectively. by Jin Zhang (53297)

Loss function values of target detection algorithms during training. by Guodong Su (7876934)

“…<p>Loss function values of target detection algorithms during training.…”

Sensitivity analysis of the TV-BayesOpt algorithm with a forgetting (orange line) or a forgetting-periodic (blue line) covariance function for a range of ε values. by John E. Fleming (8533956)

“…<p>Incorporation of prior knowledge of the temporal variation in the objective function optimum value (blue line) resulted in improved TV-BayesOpt algorithm performance than implementing a forgetting covariance function (orange line) alone. …”

Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

“…<p>Illustration of methods based on Green’s function first-passage algorithms.…”

The evaluation index data of Tian ’anmen Square images processed by various denoising algorithms. by Wuyi Li (2984439)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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Benchmark functions T-test for the proposed and compared algorithms. by El-Sayed M. El-kenawy (14581088)

Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

The obtained cost function values with respect to each run of different algorithms. by Davut Izci (15927452)

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