Parameter settings for the comparative algorithms. حسب Yu-Jun Zhang (185411)

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Pseudo-code of CSCAHHO algorithm. حسب Yu-Jun Zhang (185411)

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Python cv coding screenshots of all developed fingerprints on distinct surfaces. حسب Nisha Yadav (366131)

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases حسب Maru Song (22593561)

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Summary of recent and state-of-the-art optimization algorithms. حسب Mahmood A. Jumaah (22272371)

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The averages of the objective function and computational time in solving the large-sized problems by metaheuristic algorithms. حسب Seyed Jafar Sajadi (12213268)

Deblurring results with different methods on real natural blurred images. حسب Wei Zhou (24328)

Algorithm control parameters. حسب Jeffrey O. Agushaka (11326679)

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Overview of attribute information of real heart disease datasets. حسب Xing Chen (140292)

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Data distribution of two real heart disease datasets. حسب Xing Chen (140292)

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ML estimates and goodness of fit testing under real data. حسب Qin Gong (118801)

Running memory of the algorithms. حسب Yanju Zhang (437336)

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Examples of unexpected situations in real applications. حسب Yazhou Li (277980)

Results of our MIQO formulation for real-world training instances. حسب Hiroki Saishu (10687475)

The results of the Friedman statistical test on 27 functions. حسب Yu-Jun Zhang (185411)

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Diagram of the algorithm used during the training phase. حسب Ana P. Arantes (17131753)

Box plots of the real entropy rates for three age cohorts. حسب Yan Wang (15435)

Statistical metrics of objective function for AVR system. حسب Davut Izci (15927452)

The structure of genetic algorithm (GA). حسب 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. …"

Control parameters of the SOMA algorithm. حسب Quoc Bao Diep (18452207)

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