Voltage Support Capacity Improvement for Wind Farms with Reactive Power Substitution Control by Yuegong Li, Guorong Zhu, Jianghua Lu, Hua Geng

“…Considering differences in terminal voltage characteristics and operating conditions, this RPS control method employs a particle swarm optimization (PSO) algorithm to ensure that wind turbines can provide their optimal reactive power support capacity. …”
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First-Principles and PSO-Driven Exploration of Ca-Pt Intermetallics: Stable Phases and Pressure-Driven Transitions by Yifei Wang, Dengjie Yan

“…In this study, first-principles calculations in conjunction with the particle swarm optimization (PSO) algorithm structure search method were employed to investigate the stable phases of Ca-Pt intermetallic compounds under various pressure conditions. …”
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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method by Arun Ramaveerapathiran, R. Muniraj, T. Jarin, S.R. Boselin Prabhu, M. Willjuice Iruthayarajan

“…Tuning is performed by resolving an optimization issue in addition to constraints on robustness using efficient Heterogeneous Comprehensive Learning Particle Swarm Optimization (HCLPSO) evolutionary computation algorithm. …”
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A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques by Rizal Bakri, Bobur Sobirov, Niken Probondani Astuti, Ansari Saleh Ahmar, Pawan Kumar Singh

“…This study develops a new framework for dynamic educational marketing segmentation in student recruitment by optimizing FCM using three metaheuristic techniques: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Differential Evolution (DE). …”
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Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization by Mohammad Babar, Muhammad Sohail Khan, Ahmad Din, Farman Ali, Usman Habib, Kyung Sup Kwak

“…The numerical results show that the proposed ABC algorithm has outperformed Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Round-Robin (RR) Scheduling algorithms by producing low response time and effectively managing the workload over the edge server. …”
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Optimization of the Backstepping Control Parameters of an Active Electrohydraulic Suspension to Improve Passenger Comfort and Road Handling by Rachid Fattah, Jean-Pierre Kenne, Khalid Benjelloun, Ahmed Chebak

“…Additionally, a comparison with Genetic Algorithm (GA)-based optimization highlights that PSO achieves superior convergence and performance. …”
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Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems by Tao Wang, Jun Liu, Lianglun Cheng, Hong Xiao

“…Second, the robustness-aware collaborative mesh networking problem is formulated with a multi-objective optimization model, and an improved multi-objective particle swarm optimization algorithm based on self-adaptive evolutionary learning is exploited to search out the Pareto optimal particles with better distribution and diversity. …”
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Exergoeconomic Optimization of a Novel Hydrogen Generation System Based on Geothermal Energy by Ebrahim Aghaie, Ehsanolah Assareh, Hossein Yousefi, Rahim Moltames, Amirhossein Fathi, Kianoosh Choubineh

“…Moreover, implementing the particle swarm optimization (PSO) algorithm increases power generation by 4.3%, energy efficiency by 4.2%, exergy efficiency by 4.3%, hydrogen production by 1%, and decreases cost rate by 1%.…”
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Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams by Qinghua Xiao, Congming Li, Shengxiang Lei, Xiangyu Han, Qiaofeng Chen, Zemin Qiu, Biao Sun

“…Then, the hyperparameters were tuned with the particle swarm optimization (PSO) algorithm; the performances of these three optimum models were compared with the test dataset. …”
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Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing by Myoung Hun Han, Jin Hyeong Park, Jae Sung Yang, Sang Youl Yoon, June Kee Min

“…In addition, the results of the particle distribution, for particles generated after the combustion and entered the casing, were compared.…”
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Runoff Prediction and Uncertainty Analysis for Xijiang River Basin Based on CMIP6 Climate Scenarios by WU Huiming, YAN Meng, ZHOU Shuai

“…Based on this, the Xin'anjiang hydrological model (XAJ) is built, and the particle swarm optimization (PSO) algorithm is employed to calibrate and validate the model parameters. …”
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A Robust Control Strategy for Distributed Generations in Islanded Microgrids by esmaeel rokrok, fariba shavakhi zavareh, jafar soltani, mahmoud reza shakarami

“…All the parameters of controllers are derived via particle swarm optimization (PSO) algorithm in order to minimize an appropriate cost function. …”
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Zoning Elastic Modulus Inversion for High Arch Dams Based on the PSOGSA-SVM Method by Bo Chen, Xiao Fu, Xuyuan Guo, Chongshi Gu, Chenfei Shao, Xiangnan Qin

“…The zoning elastic modulus of a high arch dam is inversed by using deformation safety monitoring data in the operation period, based on the particle swarm optimization with gravitation search algorithm for support vector machine (PSOGSA-SVM) method. …”
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Availability Optimization of Two-dimensional Warranty Products Under Imperfect Preventive Maintenance by Rongcai Wang, Zhonghua Cheng, Liqing Rong, Yongsheng Bai, Qian Wang

“…On this basis, this paper obtains the optimal PM interval with the numerical algorithm and particle swarm optimization (PSO) taking the maximal availability of the 2D warranty product as the optimization objective and compares the results and speed of the two algorithms. …”
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Modelling and optimisation of the surface‐mounted permanent magnet machine with multi‐level array magnets by Longxuan Li, Zhaoliang Chen, Wenliang Zhao, Chengwu Diao, Byung‐il Kwon

“…Based on the proposed AM, the simulated annealing particle swarm optimisation algorithm is used by optimising the widths and thicknesses of the multi‐level array magnets to further reduce torque ripple and increase output torque. …”
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Effects of Social Media Marketing Activities on Perceived Values, Online Brand Engagement, and Brand Loyalty by Ngoc Minh Nguyen, Huyen Thi Nguyen, Thao Anh Cao

“…The data used in this study were collected through an online self-administered survey of 501 young social media users in Vietnam. Partial Least Squares Algorithm, Bootstrapping, PLSpredict/CVPAT, and Multi-Group Analysis methods embedded in Smart-PLS software were used to validate the measurement model and test the research hypotheses. …”
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Adjustment of Optimal Parameters to Control the Temperature in Different Conductors by Amirhossein Oudi, Samaneh Faramarzi, Maryam Hosseini, Yegane Davoodbeygi

“…PID controller is a closed-loop control algorithm and method using the concept of feedback that is used in many industrial processes to control the speed of DC motors, pressure control, temperature control, and so on. …”
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Assessment of Urban Water Supply System Based on Query Optimization Strategy by Shibao Lu, Yizi Shang, Wei Li, Zhimin Wang

“…This paper has the goal of improving water treatment efficiency and reducing water treatment cost based on comparative studies by applying two types of distributed database query optimization methods, including the system for a distributed database (SDD-1) and all reduction algorithms. The approach involves the components of partial relations and deletes the database components that are unrelated to a query, using only attributes related to a query. …”
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Empirical Reduced-Order Modeling for Boundary Feedback Flow Control by Seddik M. Djouadi, R. Chris Camphouse, James H. Myatt

“…Various aspects of model reduction are discussed that apply to partial differential equation- (PDE-) based models in general. …”
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An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…The first step calculates and stores distances and paths between product locations using the A* algorithm, enabling reuse in subsequent computations. …”
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