Iterative optimization convergence curve of each algorithm. by Guangwei Liu (181992)

The optimization results of each algorithm for the 8 benchmark functions. by Guangwei Liu (181992)

Optimal results of the different algorithms on the speed design reducer problem. by Guangwei Liu (181992)

Optimal results of the different algorithms on the pressure vessel design problem. by Guangwei Liu (181992)

Optimal results of the different algorithms on the gear train design problem. by Guangwei Liu (181992)

The optimization results of each algorithm for the CEC2019 benchmark functions. by Guangwei Liu (181992)

Optimal results of the different algorithms on the tension/compression spring design problem. by Guangwei Liu (181992)

a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. by Nebojsa Bacanin (13932723)

Confusion matrix for a binary outcome (adapted from Fawcett [30]). by João Albuquerque (12936572)

Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check. by Amal H. Alharbi (21755906)

Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel (19843282)

Schematic of iteration process of IDE-IIGA. by Ling Zhao (111365)

Feature selection process. by Balraj Preet Kaur (20370832)

DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx by Dongdong Li (123985)

Proposed Algorithm. by Hend Bayoumi (22693738)

“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”

Homomorphic binary tree. by Jianhua He (341366)

S1 Data - by Guangwei Liu (181992)

“…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”

Curve of step response signal of 6 algorithms. by Guangwei Liu (181992)

“…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”

<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”