23 benchmark functions. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Convergence curves of the mean function error values for six test functions at <i>D</i> = 30. by Xuxu Zhong (10099054)

Subjects:

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Algorithm of genetic workup. by Idoia Martinez de Lapiscina (16528261)

Subjects:

Optimized algorithm framework diagram. by Xutao Liu (13006965)

Subjects:

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)

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

Shows the LL component of output from the wavelet filter function for normal, benign, and malignant lung cancer samples. by Tehnan I. A. Mohamed (16846175)

Distribution of total lung capacity (TLC) in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

Subjects:

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Two approaches, both leveraging batched dense linear algebra, are found to outperform the others across a suite of molecular benchmarks. We show that batched formation of the XC matrix from the density matrix yields the best performance for large (>O(103) basis functions), sparse systems such as glycine chains and water clusters. …”

Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

Subjects:

Utility functions for attributes for different applications. by Nada Ahmed Ezz-Eldien (17396553)

Subjects:

Comparison of space utilization of three algorithms. by Ruoqi Wang (14958062)

Subjects:

Model optimization flow by MFO algorithm. by Ruoqi Wang (14958062)

Subjects:

ANOVA tests for Benchmark functions. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

The Wilcoxon results for Benchmark functions. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Convergence graphs of Benchmark functions. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

The <i>min</i> obtained by DSRABSQL, S2V-DQN and 2-opt-DRL algorithms for 25 instances. by Jin Zhang (53297)

<i>S</i>_<i>c</i> of ch150, rat575 and fl1400 for algorithms of each group. by Jin Zhang (53297)

Compare algorithm parameter settings. by Yuqi Xiong (12343771)

Subjects: