Search alternatives:
compared optimization » competing optimization (Expand Search), based optimization (Expand Search), convex optimization (Expand Search)
food optimization » fox optimization (Expand Search), from optimization (Expand Search), loop optimization (Expand Search)
based compared » cases compared (Expand Search), care compared (Expand Search), ad compared (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
compared optimization » competing optimization (Expand Search), based optimization (Expand Search), convex optimization (Expand Search)
food optimization » fox optimization (Expand Search), from optimization (Expand Search), loop optimization (Expand Search)
based compared » cases compared (Expand Search), care compared (Expand Search), ad compared (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
-
1
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. …”
-
2
-
3
-
4
-
5
-
6
-
7
-
8
Medium-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
9
Large-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
10
Small-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
11
Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
-
12
-
13
-
14
-
15
Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025“…A major challenge in bioprocess simulation is the lack of physical and chemical property databases for biochemicals. A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”
-
16
-
17
-
18
-
19
Comparisons between ADAM and NADAM optimizers.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
-
20