F3 function and convergence curve graph. by Jiangli Yu (4601986)

Time response of the en-CSA based condenser with respect to different algorithms of CSA, RUN, PDO and RIME. by Sarah A. Alzakari (19704611)

Knowledge graph model rating function. by Chunjuan Li (7890182)

Classical benchmark functions [39]. by Junhao Wei (6816803)

“…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …”

The instance of MaxCasesAverted and MaxPeaksReduced is a graph <i>G</i> constructed from the given instance of Max k-SI. by Jeffrey Keithley (14626551)

Iteration curves of different algorithms. by Tengfei Ma (597633)

“…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”

Flowchart of OP-ZOA algorithm. by Tengfei Ma (597633)

“…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”

The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

The ranking of algorithms with NUM mutation by TOPSIS. by Jalal- ud-Din (21474307)

The ranking of algorithms with PM mutation by TOPSIS. by Jalal- ud-Din (21474307)

ROC curve for each ML algorithm. by Caroline L. Alves (14271413)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

“…The reaction network is assumed to form a linear degradation chain 1 → 2 → ⋯ → <i>N</i> with the end-product concentration (metabolite <i>N</i>, orange) taken as the function of interest (shown with <i>N</i> = 3 as an example). …”

The denoising results yielded by different algorithms on a dataset with Gaussian noise at a level of <i>σ</i> = 10⁻³ after 30 iterations. by Limin Ma (556873)

The denoising results yielded by different algorithms on a dataset with Gaussian noise at a level of <i>σ</i> = 10⁻² after 30 iterations. by Limin Ma (556873)

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

WSN optimized by different algorithms. by Qingwen Meng (156386)

“…The ASBOA algorithm was evaluated using the CEC2017 and CEC2022 benchmark test functions and compared with other algorithms (such as PSO, GWO, DBO, and CPO). …”

Compare algorithm parameter settings. by Qingwen Meng (156386)

“…The ASBOA algorithm was evaluated using the CEC2017 and CEC2022 benchmark test functions and compared with other algorithms (such as PSO, GWO, DBO, and CPO). …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... by Ali Talebi (7164203)

Probability density functions (PDFs) of the simulated surveillance noise. by Sandor Beregi (22177739)