Voltage Stability Assessments and Their Improvement Using Optimal Placed Static Synchronous Compensator (STATCOM) by Tebeje Tesfaw Wondie, Teshome Goa Tella

“…Besides this, particle swarm optimization (PSO) is also used to find the optimal size and placement of the Static Synchronous Compensator (STATCOM) for the most severe buses identified by voltage stability indices. …”
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The Performance of a New Heuristic Approach for Tracking Maximum Power of PV Systems by Aripriharta Aripriharta, Kusmayanto Hadi Wibowo, Irham Fadlika, Muladi Muladi, Nandang Mufti, Markus Diantoro, Gwo-Jiun Horng

“…Based on the simulation results, it was found that mQHBM was able to exceed the capabilities of other methods such as original QHBM, particle swarm optimization (PSO) and perturb and observe (P&O), ANN, gray wolf (GWO), and cuckoo search (CS) in terms of MPPT speed and overshoot. …”
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Collaborative Multidepot Petrol Station Replenishment Problem with Multicompartments and Time Window Assignment by Guangcan Xu, Maozeng Xu, Yong Wang, Yong Liu, Qiguang Lv

“…The hybrid heuristic algorithm composed of genetic algorithm and particle swarm optimization is used as a solution, and then the Shapley value method is applied to analyze the profit allocation of each petrol depot under different coalitions. …”
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Designing Landscape of Urban Gardening Based on Optimized Artificial Intelligence Model by Long Liu

“…The landscape is driven by innovative design, adhering to the concept of “poetic residence, inheritance, and innovation,” which has long served China’s urban and rural development and the construction of ecological civilization and provided high-quality planning and design services for governments at all levels throughout the country; we construct a particle swarm optimization (PSO) landscape pattern spatial optimization model and solution algorithm to optimize the spatial layout of the landscape for economic development, ecological protection, and integrated scenarios in a city in southwest China. …”
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Research on design and control method of active vibration isolation system based on piezoelectric Stewart platform by Zhiyi Fang, Zhiliang Yu, Qingping Huang, Yanfen Wang, Xingsheng Gu

“…A Modified particle swarm optimization (MPSO) method is proposed for identifying the model’s nonlinear parameters, significantly enhancing the optimization efficiency. …”
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An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems by M. Abdulkadir, A. H. M. Yatim, S. T. Yusuf

“…In this paper, an improved particle swarm optimization- (IPSO-) based MPPT technique for photovoltaic system operating under varying environmental conditions is proposed. …”
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An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance by Gaohui Liu, Xiaqiang Chu

“…The quantum particle swarm optimization algorithm is employed to fine-tune system parameters. …”
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Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital by Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh

“…Various artificial intelligence techniques, namely, random forest, SVM, decision tree, naive Bayes, and K-nearest neighbours (KNN) were explored with particle swarm optimization (PSO) for feature selection. These results have substantial implications for early disease detection, diagnosis, and tailored treatment, potentially aiding medical professionals in making well-informed decisions and improving patient outcomes. …”
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Optimal design and operation of a wind farm/battery energy storage considering demand side management by Siyu Tao, Chaohai Zhang, Andrés E. Feijóo‐Lorenzo, Victor Kim

“…It is tackled by the mixed‐discrete particle swarm optimization algorithm. The multi‐objective optimization problem (MOOP) model in the second level determines the operation schedule of the WF/BES and other generators taking the DSM into consideration. …”
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Study on Optimal Regulation Model of Water Supply and Distribution Quantity in Irrigation Canal System Based on Cuckoo Optimization Algorithm by NONG Xizhi, LI Zhongan, JING Zheng, YE Ye

“…The leakage loss of the optimal water distribution model and conventional water distribution model obtained by the cuckoo algorithm (CS), particle swarm optimization (PSO), and differential evolution (DE) was reduced by 27.22%, 26.72%, and 27.06%, as well as 24.96%, 23.90%, and 24.55%, respectively. …”
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Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach by Bahman Shojaei, Heidar Dashti Naserabadi, Mohammad Javad Taheri Amiri

“…Our approach involves solving a sample problem precisely using GAMS software and developing two meta-heuristic algorithms—Non-Dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO). The algorithms' parameters were optimized using Taguchi design techniques to ensure robust performance. …”
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Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks by Vengadesan Alagapuri, Ashok Bakkiyaraj Radhakrishnan, S. Sakthivel Padaiyatchi

“…The results were compared and found to be improved with those of other algorithms such as the particle swarm optimization algorithm (PSO) and the firefly algorithm (FFA).…”
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An Optimized Sanitization Approach for Minable Data Publication by Fan Yang, Xiaofeng Liao

“…To address this problem, SA-MDP designs a customized particle swarm optimization (PSO) algorithm, where the optimization objective is determined by both the data utility and the data privacy. …”
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Fuzzy-Swarm Intelligence-Based Short-Term Load Forecasting Model as a Solution to Power Quality Issues Existing in Microgrid System by Demsew Mitiku Teferra, Livingstone M. H. Ngoo, George N. Nyakoe

“…The swarm intelligence load forecast model based on particle swarm optimization algorithms can improve the limitations of the fuzzy system and increase its forecasting performance. …”
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A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment by Anagh Awal, Farsuram Pandit

“…It explores a wide range of nature-inspired algorithms, including genetic algorithms, particle swarm optimization, ant colony optimization, and simulated annealing. …”
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A Game Model and Fault Recovery Algorithm for SDN Multi-Domain by Tao Xu, Chen Chen, Kaiming Hu, Yi Zhuang

“…A multi-population particle swarm optimization algorithm with repulsive interaction is employed to iteratively evolve the optimal mapping between controllers and switches. …”
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A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

“…In this paper, a combination of Particle Swarm Optimization (PSO) and Gray Wolf Optimizer (GWO) is proposed to optimize the Backpropagation Neural Network (BP) model (PSO-GWO-BP) and a pressure drop prediction model for the joint station export system is established using PSO-GWO-BP. …”
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Allocation of Interline Power Flow Controller-Based Congestion Management in Deregulated Power System by Muhammad Safdar Sial, Qinghua Fu, Talles Vianna Brugni

“…By examining the obtained results, the performance of the proposed algorithm is better than the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms. It causes a further reduction in the generation cost, congestion costs, and power losses and improves the voltage profile. …”
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Damage Identification in Bars with a Wave Propagation Approach and a Hybrid Optimization Method by R.A. Tenenbaum, K.M. Fernandes, L.T. Stutz, A.J. Silva Neto

“…In the identification process, different optimization methods are investigated: the deterministic Levenberg-Marquardt; the stochastic Particle Swarm Optimization; and a hybrid technique combining the aforementioned methods. …”
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A Wideband and Polarization-Independent Metasurface Based on Phase Optimization for Monostatic and Bistatic Radar Cross Section Reduction by Jianxun Su, Yao Lu, Zengrui Li, Rongrong Zhang, Yaoqing (Lamar) Yang

“…Optimizing phase layout through particle swarm optimization (PSO) together with far field pattern prediction can produce a lot of scattering lobes, leading to a great reduction of bistatic RCS. …”
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