Search alternatives:
process optimization » model optimization (Expand Search)
a process » _ process (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 global » _ global (Expand Search), a global (Expand Search), b global (Expand Search)
process optimization » model optimization (Expand Search)
a process » _ process (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 global » _ global (Expand Search), a global (Expand Search), b global (Expand Search)
-
1
-
2
-
3
-
4
Hyperparameters of the LSTM Model.
Published 2025“…The AD-PSO-Guided WOA overcomes limitations of conventional optimization algorithms, such as premature convergence by balancing global search (exploration) and local refinement (exploitation). …”
-
5
The AD-PSO-Guided WOA LSTM framework.
Published 2025“…The AD-PSO-Guided WOA overcomes limitations of conventional optimization algorithms, such as premature convergence by balancing global search (exploration) and local refinement (exploitation). …”
-
6
Prediction results of individual models.
Published 2025“…The AD-PSO-Guided WOA overcomes limitations of conventional optimization algorithms, such as premature convergence by balancing global search (exploration) and local refinement (exploitation). …”
-
7
-
8
-
9
-
10
-
11
-
12
-
13
Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF
Published 2019“…This method is implemented in PyAR (https://github.com/anooplab/pyar) program. The global optimization in PyAR involves two parts, generation of several trial geometries and gradient-based local optimization of the trial geometries. …”
-
14
-
15
-
16
-
17
Proposed Algorithm.
Published 2025“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
-
18
-
19
-
20
Parameter settings.
Published 2024“…<div><p>Differential Evolution (DE) is widely recognized as a highly effective evolutionary algorithm for global optimization. …”