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

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

Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm. حسب Roberto Castro-Medina (21484990)

"…<p>Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm.…"

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

Some of the major contributions on SCA since its inception. حسب Muhammad Zubair Rehman (11243478)

FASTA sequence for marker ITS2. حسب Yujun Wang (1947196)

Function graph and algorithm iterative graph. حسب WanRu Zhao (18980374)

"…The IERWHO algorithm is an improved Wild Horse optimization (WHO) algorithm that combines the concepts of chaotic sequence factor, nonlinear factor, and inertia weights factor. …"

General idea of alternative structures of aptamers binding the same ligand and its specific implementation scheme for the BioRS function. حسب Alexander V. Spirov (11302085)

Example of a Synchronous Boolean Network with 4 vertices and its State Transition Graph. حسب Alexander Andreev (16822333)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 100. حسب Haiming Du (6691646)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 30. حسب Haiming Du (6691646)

Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 50. حسب Haiming Du (6691646)

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

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

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. …"

Values of the objective function and its non-normalized terms , obtained by using different weights in the optimization process. حسب Roberto Castro-Medina (21484990)

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. …"

Benchmarking functions. حسب Guilin Yang (583364)

"…Introducing nonlinear convergence factors based on positive cut functions to changing the convergence of algorithms, the early survey capabilities and later development capabilities of the algorithm are balanced. …"

The results of Friedman and Kruskal-Wallis tests for DEGH and its variants with different <i>CR</i> values. حسب Xuxu Zhong (10099054)