The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

Testing performance comparison for different algorithms. by Roberto Bárcenas (13924220)

Training performance comparison for different algorithms. by Roberto Bárcenas (13924220)

RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)

RMSE values of different algorithms for different bands in the "PY" region. by YueSheng Jiang (19267984)

The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…First, physico-chemical inputs as bulk density (BD), initial water content (W_i), saturated water content (W_s), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…In contrast, for smaller and denser systems such as diamond nanoparticles, especially if employing large basis sets, algorithms that use the underlying molecular orbital coefficients offer superior performance, despite their higher formal scaling. …”

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. by Arian Ashourvan (6685232)

Types of training algorithms. by Caixia Yan (6647072)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

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DMTD algorithm. by Yunhu Huang (21402795)

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Parameters of the genetic algorithm. by Jian Ma (170138)

The SVM kernel parameters optimization using Bayesian optimization. by Ali Ahmed (2567584)

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The SVM kernel parameters optimization using SSA optimization. by Ali Ahmed (2567584)

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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…Ertl’s algorithm is an approach to extract functional groups in arbitrary organic molecules that does not depend on predefined libraries of functional groups. …”

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Performance profiles of these algorithms on the basis of the number of function evaluations. by Xianfeng Ding (535904)

“…<p>Performance profiles of these algorithms on the basis of the number of function evaluations.…”

The schematic view of the Radial Basis Function (RBF) algorithm. by Mohsen Yoosefzadeh-Najafabadi (6917399)

“…<p>The schematic view of the Radial Basis Function (RBF) algorithm.</p>…”

The “Bubblepole” (BUPO) Method for Linear-Scaling Coulomb Matrix Construction with or without Density Fitting by Frank Neese (736441)

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The iteration curve of the test function. by Jian Kong (164512)

“…Then the optimization parameters and scope were determined, and multi-objective optimization and direction preference algorithms were introduced. A chaotic optical performance optimization model based on improved multi-objective genetic algorithm was constructed using adaptive functions as evaluation indicators. …”