Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …”

Fitness curves of the 6 test functions. by Peiwen Zhang (1863202)

Membership functions. by Tuan Anh Nguyen (121944)

The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot. by Ali Talebi (7164203)

Training accuracy/loss as a function of epochs for different datasets. by Hiam Alquran (17636906)

Example of a typical workflow to construct a network using NeKo. by Marco Ruscone (11747264)

Detail of benchmark functions comparison. by Jalal- ud-Din (21474307)

Parameter settings for metaheuristic algorithms. by Junhao Wei (6816803)

“…In the experimental section, we validate the efficiency and superiority of LSWOA by comparing it with outstanding metaheuristic algorithms and excellent WOA variants. The experimental results show that LSWOA exhibits significant optimization performance on the benchmark functions with various dimensions. …”

The daily average OD passenger flow from Lanzhou West to Xi’an North. by Zhipeng Huang (1759759)

PFC value of algorithms on two datasets. by Xing Chen (140292)

“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

“…Both versions are evaluated on the same synthetic datasets with a 3-group ground truth. Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …”

Loss function and accuracy curve comparison. by Dayu Zhang (710629)

The results of each test function. by Yuhang Wang (332111)

Network structure diagram of YOLOv8 algorithm. by Weiyu Han (3448742)

Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

Diversity of the population of en-CSA with respect to benchmark functions. by Sarah A. Alzakari (19704611)

Attack and defense behaviors between a single predator and a single prey using the sensory–motor algorithm. by Hiroyuki Ichijo (13891153)

Acurracy comparison of CCA and FBCCA algorithms. by Hossein Hamidi Shishavan (19688384)

Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ by Sarun Horn (20899271)

“…This may include code samples, functions, algorithms, or exercises designed to guide readers in learning or applying programming concepts. …”

Compare algorithm parameter settings. by Yuqi Xiong (12343771)

“…<div><p>Metaheuristic optimization algorithms often face challenges such as complex modeling, limited adaptability, and a tendency to get trapped in local optima when solving complex optimization problems. …”