بدائل البحث:
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic codon » basic column (توسيع البحث)
primary a » primary _ (توسيع البحث), primary i (توسيع البحث), primary aim (توسيع البحث)
a wolf » _ wolf (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic codon » basic column (توسيع البحث)
primary a » primary _ (توسيع البحث), primary i (توسيع البحث), primary aim (توسيع البحث)
a wolf » _ wolf (توسيع البحث)
-
1
Parameter settings for algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
2
Parameter settings for algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
3
Average runtime of different algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
4
Average runtime of different algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
5
Flowchart of GJO-GWO algorithm.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
6
Detailed information of benchmark functions.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
7
Evaluation metrics of the models’ performance.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
8
Detailed information of datasets.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
9
Friedman test results.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
10
Average number of selected features.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
11
Wilcoxon rank sum test results.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
12
Wilcoxon rank sum test results.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
13
Average number of selected features.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
-
14
S1 Data -
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"