Rosenbrock function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

Levy function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

Rastrigin function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

Rosenbrock function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

Levy function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). حسب Jesse Wheeler (18462457)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

"…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …"

Algorithm operation steps. حسب Junyan Wang (4738518)

"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"

Coarse-fine optimization algorithm. حسب Chao Ma (207385)

"…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …"

IEEE CEC 2017 benchmark function specifications. حسب Kankan Tang (21474968)

IEEE CEC 2022 benchmark function specifications. حسب Kankan Tang (21474968)

The benchmark functions. حسب Shuhui Yu (1535500)

Types of training algorithms. حسب Caixia Yan (6647072)

Flowchart for the unsupervised SOM algorithm modified from Seifert et al. [56] with permission. حسب Sergio Montalt-García (17696115)

Contrast enhancement of digital images using dragonfly algorithm حسب Soumyajit Saha (19726163)

"…The experimental observations reveal that the proposed DA-based image contrast enhancement produces high-quality images from its low-contrast counterparts. Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. …"

Test function results. حسب Ruyi Dong (9038174)

"…From the statistical results of mean, best and variance of different algorithms, the LLSKSO algorithm outperforms the other algorithms. …"

Benchmark test functions. حسب Ruyi Dong (9038174)

"…From the statistical results of mean, best and variance of different algorithms, the LLSKSO algorithm outperforms the other algorithms. …"

Algorithm parameters. حسب Ruyi Dong (9038174)

"…From the statistical results of mean, best and variance of different algorithms, the LLSKSO algorithm outperforms the other algorithms. …"

CEC2017 basic functions. حسب 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. …"

DMTD algorithm. حسب Yunhu Huang (21402795)

"…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …"