Results obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Convergence curves obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Different algorithms in 23 benchmark functions to obtain partial boxplot. حسب Yuqi Xiong (12343771)

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Results obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

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Convergence curves obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

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Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. حسب Jiaxi Wang (545353)

The image of the Aekley function. حسب Zhengyu Xu (8550660)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

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The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

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Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

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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. …"

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

"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"

Fuzzy membership function for yaw with . حسب Yasir Mehmood (744452)

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

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

PSO algorithm flowchart. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

"…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"

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

Multi-functional liquid crystal devices based on random binary matrix algorithm حسب Tibin Zeng (10890697)

"…<p>Multi-functional diffraction gratings have found broad applications in laser processing, medicine, beam manipulation, etc. …"

Comparison of different algorithms. حسب Dawei Wang (471687)

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A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)