Optimizing energy forecasts at Boma for 2023 to 2053 Using machine learning techniques of the PSO algorithm by André Mampuya Nzita, Bernard Ndaye Nkanka, Guyh Dituba Ngoma, Clément N’zau Umba-di-Mbudi

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Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning by Gökhan Altun, İlhan Aydın

“…In the hybrid algorithm, the simplicity and powerful global search capabilities of the Particle Swarm Optimization (PSO) algorithm are combined with the strong exploration and local minimum avoidance features of the Grey Wolf Optimization (GWO) algorithm. …”
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Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms? by Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper

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Optimising complexity and learning for photonic reservoir computing with gain-controlled multimode fibres by Giulia Marcucci, Luana Olivieri, Juan Sebastian Totero Gongora

“…We discuss the physical origin of the optimal regions by analysing the information theory and linear algebra properties of the readout matrix, unveiling a deep connection between the computational performance of the system and the Kolmogorov algorithmic complexity of the nonlinear features generated by the reservoir. …”
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Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment by Zhun Wang, Xue Chen

“…Aiming at the problems of low detection rate and high false detection rate of intrusion detection algorithms in the traditional cloud computing environment, an intrusion detection-data security protection scheme based on particle swarm-BP network algorithm in a cloud computing environment is proposed. …”
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Algorithm for finding subcritical paths on network diagrams by M. A. Аnfyorov

“…The conducted runs of computational experiments confirmed the operability and efficiency of the software-implemented algorithm. …”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

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TD-CFD-DPM Coupled method for multi-objective optimization of collision pollination parameters in hybrid rice seed production by Te Xi, Rongkai Shi, Huaiqu Feng, Bo Chen, Nian Li, Yongwei Wang, Jun Wang

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Energy-Efficient Computation Offloading and Resource Allocation in SWIPT-Based MEC Networks by E. Xuefei, Zhonggui Ma, Kaihang Yu

“…We also propose a three-part alternative optimization algorithm framework based on the categories of optimization variables. …”
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Optimization Strategies in Quantum Machine Learning: A Performance Analysis by Nouf Ali AL Ajmi, Muhammad Shoaib

“…This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. …”
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Blockchain-based heterogeneous resource configuration scheme in computing power network by Qiang Gao, Chunyu Liu, Lei Wang, Yiqing Liu, Yueqiang Xu

“…Subsequently, we formulate a joint optimization problem aimed at optimizing network bandwidth, computational resources, and blockchain maintenance resources simultaneously to achieve the best possible balance between system latency and energy consumption. …”
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High-performance parallel acceleration method for domestic public key cryptographic algorithm SM2 based on domestic GPU by WU Wen, DONG Jiankuo, LIU Pengbo, DONG Zhenjiang, HU Xin, ZHANG Pinchang, XIAO Fu

“…To meet the strategic demand for independently controllable national information security and to ensure algorithm transparency and security, a high-performance parallel acceleration method for the domestic public key cryptographic SM2 digital signature algorithm based on domestic GPU was proposed. …”
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Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization by Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey Ovre Agushaka, Apu Kumar Saha

“…These results validate the benefits of integrating a learning mechanism into SIRO, yielding superior precision, computational efficiency, and performance over conventional optimization approaches.…”
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Geometric Range-Free Localization Algorithm Based on Optimal Anchor Node Selection in Wireless Sensor Networks by Hyunjae Woo, Chaewoo Lee

“…To achieve this, we propose an optimal anchor node selection algorithm which selects the anchor nodes connected topologically well for the geometrical location estimation. …”
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Improved Parallel Differential Evolution Algorithm with Small Population for Multi-Period Optimal Dispatch Problem of Microgrids by Tianle Li, Yifei Li, Fang Wang, Cheng Gong, Jingrui Zhang, Hao Ma

“…However, the computational time of solving the optimal dispatch problem increases greatly when the grid’s structure is more complex. …”
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Performance of Various Voltage Stability Indices in a Stochastic Multiobjective Optimal Power Flow Using Mayfly Algorithm by Rebeccah Kyomugisha, Christopher Maina Muriithi, George Nyauma Nyakoe

“…The performance of voltage stability indices in the multiobjective optimal power flow of modern power systems is presented in this work. …”
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Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

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Enhanced Robust Control of Induction Motor Using Combined Optimal Model Predictive Control With Super-Twisting Algorithm by REZGUI, S.-E., NEMOUCHI, B.

“…This paper presents a novel strategy for induction motor control that combines Optimal Model Predictive Control (OMPC) with the Super-Twisting Algorithm (STA) to enhance the performance of field-oriented control (IFOC) strategy under disturbances and uncertainties. …”
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Reliable heuristic mapping method for survivable virtual network by Qiang ZHU, Hui-qiang WANG, Chun-guang MA, Guang-sheng FENG, Hong-wu LV

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Personalized learning effect evaluation model for vocational education with cloud computing technology by Xiangyu Wang, Kang Cao

“…The model introduces an adjustable mutation approach, which adapts the mutation probability in real-time in accordance with the progress of the genetic algorithm in the search process, so as to prevent entering into local optimization and ensure the maintenance of diversity. …”
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