Results of searching performance of the improved NAG algorithm on Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

Comparison of benchmark function results between improved algorithms. by Xiaoyi Zhang (577299)

Mean values of different benchmark functions. by Jalal- ud-Din (21474307)

“…Proposed parent-centric real-coded crossover operators increase the precision and robustness of GAs, which is confirmed by empirical results on testing constrained and un-constrained benchmark functions having different complexity levels. MGGX parent-centric real-coded crossover operator performs best in 20 out of 36 mean values cases and achieves the lowest standard deviation values in 21 out of 36 cases. …”

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

Results of searching performance of different algorithm models on the Sphere function and Griewank function. by Rui Zhang (13940)

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. by Rui Zhang (13940)

The p-values of Wilcoxon test for HHO variants on the benchmark function. by Qiong Wu (84327)

Output membership functions of the truth value. by Thanasan Intarakumthornchai (9606684)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

Subjects:

Compare the test functions. by Yanqiu Li (683621)

Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets. by Bitanu Chatterjee (15295261)

“…<p>Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets.…”

Maximum values of overlapping normalized mutual information (LFK) producced by clustering algorithms. by Alexander Ponomarenko (3163383)

Algorithm membership function. by Mohamed Raef Smaoui (9865830)

“…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …”

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

Subjects:

LF and SP optimum values using the PSOGSAHO algorithm. by Nada Ahmed Ezz-Eldien (17396553)

Subjects: “…gravitational search algorithm…”

Changes in the relative abundances of signaling functions across initial GA-LR pairs. by Erick Armingol (5125595)

“…Changes were computed from the fold change (FC) between the relative abundance in each of the 100 runs of the genetic algorithm (GA) with respect to the corresponding relative abundance in the complete list of LR pairs (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010715#pcbi.1010715.s002" target="_blank">S1 Table</a>), and shown as the log10(FC+1) transformation (x-axis). …”

Parameter values chosen for this study in various algorithms. by Davut Izci (15927452)

Benchmark functions T-test for the proposed and compared algorithms. by El-Sayed M. El-kenawy (14581088)

Stander deviation values of different benchmark functions. by Jalal- ud-Din (21474307)