Loss function variation curve. حسب Chunhua Yang (346871)

الموضوعات:

Simulations details for the Rosenbrock function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Simulations details for the Rastrigin function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. حسب Martin Dodek (20623832)

F1-scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

Global optima for objective functions <i>f</i>₁ –<i>f</i>₁₄. حسب Panagiotis Aivaliotis-Apostolopoulos (13851171)

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

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Benchmark functions. حسب Xiaowen Zhang (83669)

الموضوعات:

Genetic algorithm process of this paper. حسب Jiajie Liu (4560088)

Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

الموضوعات: "…assess microvascular function…"

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

Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. حسب Yuh-Chin T. Huang (17867207)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

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

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. حسب Yao Peng (1928524)

"…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…"

Forward and inverse problems and misfit function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Recursive attention function and loss function change. حسب Wang Linfeng (17102068)

Face matching performance as a function of test condition for Study 1 (threshold = 0.5). حسب Daniela Barragan (13146762)