Search alternatives:
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
field optimization » lead optimization (Expand Search), guided optimization (Expand Search), linear optimization (Expand Search)
binary taste » binary data (Expand Search), binary mask (Expand Search)
taste robust » based robust (Expand Search), quite robust (Expand Search), most robust (Expand Search)
based field » pulsed field (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
field optimization » lead optimization (Expand Search), guided optimization (Expand Search), linear optimization (Expand Search)
binary taste » binary data (Expand Search), binary mask (Expand Search)
taste robust » based robust (Expand Search), quite robust (Expand Search), most robust (Expand Search)
based field » pulsed field (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
-
1
KNN algorithm flowchart.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
2
MGA algorithm flowchart.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
3
Sensitivity analysis of the proposed algorithm.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
4
GA-KNN algorithm flowchart.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
5
-
6
S1 Dataset -
Published 2024“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
-
7
Statistical tests of ACC on the random network.
Published 2024“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
-
8
Parameters in the experiment.
Published 2024“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
-
9
Statistical tests of APL on the random network.
Published 2024“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
-
10
Statistical tests of ACC on the regular network.
Published 2024“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
-
11
Statistical tests of APL on the regular network.
Published 2024“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
-
12
Image 1_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…</p>Methods<p>This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the RMMPs, which improves global optimization capability and inversion accuracy. …”
-
13
Image 2_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…</p>Methods<p>This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the RMMPs, which improves global optimization capability and inversion accuracy. …”
-
14
Identification of <i>Bacillus</i> and <i>Yersinia</i> species and hoax agents by protein profiling using microfluidic capillary electrophoresis with peak detection algorithms
Published 2021“…Protein profiling, using microfluidic capillary electrophoresis, provides a rapid (less than 40 minutes), reliable and field-based screening method.…”
-
15
Data set and experimental parameters.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
16
Dataset and experimental parameters.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
17
The impact of different k-value classifications.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
18
Chi-square test analysis.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
19
Average accuracy of removing redundant content.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”
-
20
Run chart of multi feature construction method.
Published 2024“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”