Feature selection convergence time comparison of various binary metaheuristic algorithms. حسب Amal H. Alharbi (21755906)

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

الموضوعات:

An optimal solution for the HFS instance. حسب Xiang Tian (4369285)

"…This work firstly proposes an Improved Probe Machine with Multi-Level Probe Operations (IPMMPO) and ingeniously designs general data libraries and probe libraries tailored for multi-scenario HFS problems, including HFS with identical parallel machines and HFS with unrelated parallel machines, no-wait scenario, and standard scenario. …"

The result of the accuracy of tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Comparison based on hard instances from [79]. حسب Xiang Tian (4369285)

"…This work firstly proposes an Improved Probe Machine with Multi-Level Probe Operations (IPMMPO) and ingeniously designs general data libraries and probe libraries tailored for multi-scenario HFS problems, including HFS with identical parallel machines and HFS with unrelated parallel machines, no-wait scenario, and standard scenario. …"

Feature selection ratio results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Best fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Mean fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Standard deviation of fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

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

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

الموضوعات:

Boxplots analysis of the tested algorithms using average error rate across 21 datasets. حسب Nebojsa Bacanin (13932723)

الموضوعات:

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

Probe combines and as a 2-aggregation. حسب Xiang Tian (4369285)

"…This work firstly proposes an Improved Probe Machine with Multi-Level Probe Operations (IPMMPO) and ingeniously designs general data libraries and probe libraries tailored for multi-scenario HFS problems, including HFS with identical parallel machines and HFS with unrelated parallel machines, no-wait scenario, and standard scenario. …"

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. حسب Olaide N. Oyelade (14047002)

الموضوعات:

Feature selection process. حسب Balraj Preet Kaur (20370832)

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

Proposed Algorithm. حسب Hend Bayoumi (22693738)

الموضوعات:

Homomorphic binary tree. حسب Jianhua He (341366)

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