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. …”

Details of multiple GWO algorithm variants. by Genliang Li (5816264)

“…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …”

Genetic algorithm flowchart. by Junjie He (700642)

“…Then, the epsilon constraint method was used to address the multi-objective model, followed by designing the genetic algorithm based on the problem characteristics for solutions. …”

Oresme by Mehmet Keçeci (14301782)

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The source code includes training/validation scripts, pre-trained model weights, configuration files, and data processing tools. by Ju Liang (4277062)

Composition spectrum of primary ilmenite based on microanalysis of the elemental composition of the grains with an EDS sensor. by Gabriel Prates Hallal (19555976)

Data for Figs 3–9. by Xiaogang Li (299205)

Greedy optimization algorithm. by Alexis Bénichou (19832361)

Dataset state after applying our data preparation algorithm. by Tanjim Taharat Aurpa (11250554)

Schematic representation of file structures before and after virus infections by Paul A. Gagniuc (1818325)

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Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Comparison data for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

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Sample data for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

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Sample data for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

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Sample data for <i>Telmatochromis temporalis</i>. by Nicolai Kraus (19949667)

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Guidance_Environment_Code_and_Data_v3.1 by Yan Zhou (20562187)

“…<p dir="ltr">This file contains the code and data (with guidance and environment files ) of the paper: HMLPA*: A Hierarchical Multi-target LPA* Pathfinding Algorithm Designed for Dynamic Indoor Road Network.…”

Security algorithm framework. by Ali Shahzad (15251641)

“…The proposed algorithm combines blockchain and smart contracts with a cloud-based healthcare Service Management System (SMS) to ensure secure and accessible EHRs. …”

Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. by Rui-Si Hu (5337227)

The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

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