Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

"…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"

SP results of algorithms in the CEC 2009 test functions. حسب Vahid Goodarzimehr (21343124)

MS results of algorithms in the CEC 2009 test functions. حسب Vahid Goodarzimehr (21343124)

Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. حسب Tehnan I. A. Mohamed (16846175)

"…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…"

Effect of the transmission probability function on epidemic spread. حسب Soler Gabriela Bayolo (21011810)

The optimization results of the objective function. حسب Shenjie Cheng (18563736)

Test images used and their blur parameters. حسب Haoyuan Yang (8630391)

الموضوعات:

Performance of optimization algorithms in six different network types. حسب Maurits H. W. Oostenbroek (11331123)

Performance of optimization algorithms in an network of education organizations of ± 250 nodes. حسب Maurits H. W. Oostenbroek (11331123)

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

"…Functional groups are widely used in organic chemistry, because they provide a rationale to analyze physicochemical and reactivity properties. …"

Standard functions to test. حسب Kemal Gökhan Nalbant (18858009)

Continuous Probability Distributions generated by the PIPE Algorithm حسب LUIS G.B. PINHO (14073372)

"…<div><p>Abstract We investigate the use of the Probabilistic Incremental Programming Evolution (PIPE) algorithm as a tool to construct continuous cumulative distribution functions to model given data sets. …"

Completion times for different algorithms. حسب Jianbin Zheng (587000)

"…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. The effectiveness of the proposed method is then verified on both the physical work cell for riveting and welding and its digital twin platform, and it is compared with other baseline multi-agent reinforcement learning methods (MAPPO, MADDPG, and MASAC). …"

The average cumulative reward of algorithms. حسب Jianbin Zheng (587000)

"…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. The effectiveness of the proposed method is then verified on both the physical work cell for riveting and welding and its digital twin platform, and it is compared with other baseline multi-agent reinforcement learning methods (MAPPO, MADDPG, and MASAC). …"

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب 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. …"

Flowchart of MOSRS algorithm. حسب Vahid Goodarzimehr (21343124)

"…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …"

Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

الموضوعات:

The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

"…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …"

PSO algorithm flowchart. حسب Huichao Guo (14515171)

"…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …"

Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. حسب Laurentius O. Osapoetra (9931759)