بدائل البحث:
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
driven optimization » design optimization (توسيع البحث), dose optimization (توسيع البحث), process optimization (توسيع البحث)
based driven » based diet (توسيع البحث), wave driven (توسيع البحث), user driven (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
driven optimization » design optimization (توسيع البحث), dose optimization (توسيع البحث), process optimization (توسيع البحث)
based driven » based diet (توسيع البحث), wave driven (توسيع البحث), user driven (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
-
1
-
2
-
3
-
4
-
5
-
6
The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
-
7
IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
-
8
IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
IRBMO vs. variant comparison adaptation data.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
-
17
-
18
-
19
-
20