Algorithm optimization process. by Zhihao Li (359073)

Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

Subjects:

Numerical example for determining the optimal number of clusters in Algorithm 2. by Yi Wei Tye (22208735)

The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

“…The existence of uncontrollable factors affects the decision-making process, which is a problem for investors who are responsible for the final financial decisions on how to allocate their budgets to financial assets in their investment portfolios. …”

Quantitative results of three algorithms. by Zahoor Jan (20077515)

LHS distribution of three parameters. by Qiongfang Zhang (18055134)

Workpiece processing information. by Guilin Yang (583364)

“…Finally, in order to further verify the algorithm’s applicability in actual production processes, it was applied to solve scheduling problems in three flexible workshop scenarios and an aviation engine job shop scheduling in an enterprise. …”

The Search process of the genetic algorithm. by Wenguang Li (6528113)

“…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”

XGBoost algorithm training process. by Huijun Chen (148680)

Multi objective optimization design process. by Xueyong Pan (20390363)

Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Comparison of 3-D FEA and experimental waveforms. by Qiongfang Zhang (18055134)

Comparison of 3-D FEA and experimental harmonics. by Qiongfang Zhang (18055134)

The detailed process of the “Concat” program. by Wang Yang (311439)