Examples of the PSF (first row) and its frequency domains (second row). حسب Haoyuan Yang (8630391)

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Algorithm of the main experiment targeted to measure the perceptual point spread function (pPSF) treating patients visual system including its optics, physiology and psychology as an integrated imaging system, and patient’s perceptions as its output signal. حسب Krzysztof Petelczyc (3954203)

"…<p>In the algorithm, the following variables were used: “Ic” denotes the intensity of the central diode (Ic = 40 cd); “DIST(i)” is a randomly sorted list of “D” angular stimuli positions distributed equally as a function of distance from 0.24° to 7.67° from the central point (D = 10), while “i” is an index corresponding to the current distance of a probe diode (“d”); “N” denotes the number of trials for each stimuli position (N = 20); “s” denotes the perceptual brightness value transformed to diode luminous intensity by an array “I(s)” corresponds to the table “scale (level)” determined by the algorithm presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0306331#pone.0306331.g003" target="_blank">Fig 3</a>; “cnt” is a counter of trials for the current probe diode’s distance, array threshold (d), and slope (d), i.e., it denotes the intensity of the single point of the pPSF and its uncertainty. …"

Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

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Flowchart of MOSRS algorithm. حسب Vahid Goodarzimehr (21343124)

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

-value on 23 benchmark functions (dim = 30). حسب Yuqi Xiong (12343771)

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The <i>uafR</i> workflow and its constitutive functions: <i>spreadOut</i>, <i>categorate</i>, <i>exactoThese</i>, <i>mzExcato</i>, <i>decontaminate</i>, and <i>standardifyIt</i>. حسب Chase A. Stratton (13384089)

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

Illustration of the unrestricted model and its training algorithm. حسب Yuru Song (21300760)

S1 Data - حسب Yannick Feld (16520678)

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S4 Fig - حسب Yannick Feld (16520678)

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S1 Fig - حسب Yannick Feld (16520678)

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S2 Fig - حسب Yannick Feld (16520678)

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S3 Fig - حسب Yannick Feld (16520678)

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

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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)

Example of a network, its transition function, and its initial and desired states. حسب Mohammad Moradi (3642007)

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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