Search alternatives:
modeling algorithm » making algorithm (Expand Search)
using algorithms » pacing algorithms (Expand Search), nine algorithms (Expand Search), sorting algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
a modeling » _ modeling (Expand Search), 3d modeling (Expand Search), data modeling (Expand Search)
modeling algorithm » making algorithm (Expand Search)
using algorithms » pacing algorithms (Expand Search), nine algorithms (Expand Search), sorting algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
a modeling » _ modeling (Expand Search), 3d modeling (Expand Search), data modeling (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
The flowchart for model solving process.
Published 2025“…In this paper, the column and constraint generation algorithm and strong duality theory are used to decompose the original problem into the linearized master problem and subproblem, which can improve the solving speed. …”
-
9
-
10
-
11
-
12
-
13
Algorithmic experimental parameter design.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
-
14
The flowchart of the PDCSA algorithm.
Published 2025“…<div><p>The essence of the influence maximization (IM) problem is how to identify the set of seed nodes so that the node numbers ultimately affected in the network reach the maximum under a certain spreading model. In the field of influence maximization research, the investigation of seed nodes identifying algorithms is a hot yet challenging work. …”
-
15
Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
-
16
-
17
-
18
-
19
Spatial spectrum estimation for three algorithms.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
-
20
Results on solving TSS using different evolutionary and greedy algorithms.
Published 2025“…<p>Results on solving TSS using different evolutionary and greedy algorithms.…”