Experimental optimization results for dimension 10 using reported competitor algorithms on the unimodal, multimodal, hybrid, and composite of CEC2022 benchmark functions. by WanRu Zhao (18980374)

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Training algorithm flow. by Xing Chen (140292)

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Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

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Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

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Link function. by Alina Bazarova (17138191)

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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Evolution of objective function. by Serdar Ekinci (15927455)

“…Extensive tests using benchmark functions demonstrate the QWGBO’s effectiveness in optimization. …”

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. …”

The main steps of the general algorithm. by Dror Mughaz (18017583)

The function value of the single objective optimal solution. by Yuhang Wang (332111)

Comparison of traffic signal control between modern and contemporary times [32]. by Guangling Sun (18165493)

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Depiction of how the label of is assigned as a function of whether are identical (row =), nested (rows ), or partially overlapping (row “else”), and as a function of the labels of... by Jordan Moutet (21800145)

Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

CEC2017 basic functions. by Tengfei Ma (597633)

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Population <i>versus</i> success rate for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Population <i>versus</i> success rate for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

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Comparison chart of computation time. by Manoj Kumar V. (18196645)

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Summary of results of naïve Bayes algorithms. by Christopher E. Niemczak (8586861)

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

“…The algorithm employs recurrent neural networks to capture and process historical information. …”

Represention of the anneal schedules used as a function of the dimensionless anneal parameter <i>s</i>. by John Golden (9946327)