Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands by Ying-Yi Hong, Faa-Jeng Lin, Fu-Yuan Hsu

“…Moreover, a two-stage algorithm is developed, in which the uncertain bus loads and PV powers are clustered by fuzzy-c-means to gain representative scenarios; optimal reconfiguration is then achieved by a novel mean-variance-based particle swarm optimization. …”
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RBCC Mid-section Combined Trajectory Optimization Method Based on Particle Swarm-Pseudospectral Convex Optimization by Yang Yuxuan, Fei Wanghua, Liu Haili, Wang Peichen, Yan Xunliang

“…The static parameters are determined by the particle swarm optimization algorithm in the upper layer, and on this basis, the pseudospectral convex optimization method is used to optimize the trajectory design in segments, and the non-convex and nonlinear optimization problems are transformed into convex optimization problems by the organic combination of pseudo-spectral discrete method and convex technology, and the sequential convex optimization solution strategy based on trust domain shrinkage is designed, which not only ensures the optimality of each segment of trajectories, but also realizes the rapid solution of the middle segment combined trajectory optimization problem. …”
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Predicting filtration coefficient and formation damage coefficient for particle flow in porous media using machine learning by Xuejia Du, George K. Wong

“…Collected data were randomly partitioned into training (80 %) and testing (20 %) subsets. Four regression algorithms were employed, treating λ or γ as the target variable, with injection velocity (um), particle concentration (Cin), and ratio of mean pore size (Dpore) to mean particle size (Dp) as features. …”
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Improving the Performance of Steering by Wire Using a Model Predictive Controller Enhanced with Particle Swarm Optimisation by Taher Alhassany, Ali Hussien Mary, Furat Ibrahim Hussein, Mohammed Ghufran Khidhir Abboosh, Muhammad Umar Fareed

“…The current study introduces an innovation of a model that integrates model predictive control (MPC) with particle swarm optimisation (PSO) to improve the performance of SBW systems. …”
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TCBGY net for enhanced wear particle detection in ferrography using self attention and multi scale fusion by Lei He, Haijun Wei, Cunxun Sun

“…To address challenges such as false detection, missed detection of small wear particles, difficulty in distinguishing overlapping and similar abrasions, and handling complex image backgrounds, this paper proposes an algorithm called TCBGY-Net for detecting wear particles in ferrography images. …”
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K-Nearest Neighbors hybrid method for maximum power point tracking under partial shading for photovoltaic power systems by Djamel Guessoum, Maen Takrouri, Mohammad Rabih, Maissa Farhat, Sufian A. Badawi

“…Partial shading conditions (PSC) can significantly reduce the performance of solar photovoltaic (PV) systems. …”
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Architectural space design methods using data algorithms by Jingyang Liu, Yifan Zhang, Shiru Zhao

“…Experts and scholars were invited to score to verify the superiority of particle swarm optimization algorithm for architectural space design. …”
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The PSO-IFAH optimization algorithm for transient electromagnetic inversion. by Zhengyu Xu, Guofeng Zhao, Xian Liao, Nengyi Fu

“…However, the accuracy and efficiency of the algorithm restrict its further development. In this paper, the particle moving velocity of FA algorithm is defined according to the concept of particle moving velocity in PSO algorithm, so as to improve the local fast convergence ability of FA algorithm. …”
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Multicore PSO Operation for Maximum Power Point Tracking of a Distributed Photovoltaic System under Partially Shading Condition by Ru-Min Chao, Ahmad Nasirudin, I-Kai Wang, Po-Lung Chen

“…A modified particle swarm optimization (PSO) algorithm based on the suggested search-agent deployment, retracking condition, and multicore operation is proposed in order to continuously locate the global maximum power point for the PV system. …”
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Photovoltaic energy harvesting booster under partially shaded conditions using MPPT based sand cat swarm optimizer by Moch Rafi Damas Abdilla, Novie Ayub Windarko, Bambang Sumantri

“…The suggested SCSO performance is evaluated under a variety of weather situations, including both instances of partially shaded and uniform irradiance. The SCSO results are juxtaposed with other existing bio-inspired algorithms, such as grey wolf optimization (GWO), particle swarm optimization (PSO), and tunicate swarm algorithm (TSA). …”
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Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring by Amarjeet Prajapati, Anshu Parashar, null Sunita, Alok Mishra

“…It has been observed that these kinds of many-objective optimization problems (MaOPs) often pose several performance challenges to the traditional multi-objective optimization algorithms. To address the performance issue caused by the different types of MaOPs, recently, a variety of many-objective particle swarm optimization (MaOPSO) has been proposed. …”
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REliable PIcking by Consensus (REPIC): a consensus methodology for harnessing multiple cryo-EM particle pickers by Christopher J. F. Cameron, Sebastian J. H. Seager, Fred J. Sigworth, Hemant D. Tagare, Mark B. Gerstein

“…State-of-the-art computational algorithms (“pickers”) identify different particle sets, complicating the selection of the best-suited picker for a protein of interest. …”
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Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning by Syed Adil Hussain Shah, Syed Taimoor Hussain Shah, Roa’a Khaled, Andrea Buccoliero, Syed Baqir Hussain Shah, Angelo Di Terlizzi, Giacomo Di Benedetto, Marco Agostino Deriu

“…Feature dimensionality was optimized using Particle Swarm Optimization, reducing dimensions from 1024 to 508, significantly enhancing computational efficiency. …”
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Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions by Fares Bettahar, Sabrina Abdeddaim, Achour Betka

“…These results underscore the significant potential of the P&O-FPA algorithm to enhance photovoltaic performance, particularly in situations where partial shading conditions.…”
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An Improved Central Force Optimization Algorithm for Multimodal Optimization by Jie Liu, Yu-ping Wang

“…When tested against benchmark functions, in low and high dimensions, the CSM-CFO algorithm has competitive performance in terms of accuracy and convergence speed compared to other evolutionary algorithms: particle swarm optimization, evolutionary program, and simulated annealing. …”
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Modeling and simulation of genetic algorithm using meta-models by Abbas MAhmoodi Markid

“…We use this platform and EMF-DEVS to modeling genetic algorithm (GA-DEVS) and generating partial executable codes on DEVS-Suite simulator. …”
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Application of Golden Sine Algorithm in Hydrogeological Parameter Optimization by ZHOU Yourong, LI Na, ZHOU Fahui

“…To improve the accuracy of hydrogeological parameters, this paper conducts the simulationverification of golden sine algorithm (Gold-SA) algorithm by six standard test functions andcompares the simulation results with that of the particle swarm optimization (PSO) algorithm, andtaking two pumping test data as examples, optimizes two key parameters, i.e. transmissivitycoefficient and storage coefficient of theis formula by the Gold-SA algorithm and compares theresults with that of the PSO algorithm, wiring method and literature method. …”
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An Interference Links Selection Method Based on Genetic Algorithm by Juan Meng, Li Hong, Yanan Li, Zhiming Han, Lili Guo

“…Focusing on interference alignment with partial interference links in multi-cell multiple input multiple output （MIMO）networks, an interference links selection scheme was proposed based on genetic algorithm. …”
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Using genetic Algorithm in Task scheduling for Multiprocessing System by Asmaa Hammo, Ghosun Basheer, Muna Jawhar

“…In this work we use Genetic Algorithm for best section to implement many independent tasks on multiprocessor systems. …”
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Sequentially Modified Gravitational Search Algorithm for Image Enhancement by Ferzan Katırcıoğlu, Uğur Güvenç

“…The achieved results are compared with the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and GSA among the heuristic optimization algorithms. …”
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