Toward Enhancing the Energy Efficiency and Minimizing the SLA Violations in Cloud Data Centers by E. I. Elsedimy, Fahad Algarni

“…In this paper, an effective multiobjective algorithm based on Particle Swarm Optimization (PSO) technique for the VMP problem, referred to as VMPMOPSO, is proposed. …”
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Multi-stage adaptive speed control with torque ripple optimization for a switched reluctance motor in electric vehicle applications by Youness Boumaalif, Hamid Ouadi, Fouad Giri

“…In this context, a two-stage optimization strategy is proposed. Using the particle swarm optimization (PSO) technique, the first stage computes in offline mode, a first estimate of the optimal parameters of the SRM current reference signal. …”
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Reliability-Based Fatigue Life Prediction for Complex Structure with Time-Varying Surrogate Modeling by Lu-Kai Song, Guang-Chen Bai, Cheng-Wei Fei, Jie Wen

“…To improve the computational efficiency and accuracy of reliability-based fatigue life prediction for complex structure, a time-varying particle swarm optimization- (PSO-) based general regression neural network (GRNN) surrogate model (called as TV/PSO-GRNN) is developed. …”
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Energy Management Strategy for Direct Current Microgrids with Consideration of Photovoltaic Power Tracking Optimization by Fudong Li, Zonghao Shi, Zhihao Zhu, Yongjun Gan

“…Firstly, a hybrid algorithm for power tracking control is formed by incorporating the Particle Swarm Optimization (PSO) algorithm into the variable step-size Incremental Conductance (INC) method, thereby optimizing the maximum power point tracking control system of the photovoltaic system. …”
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Optimizing cut order planning: A comparative study of heuristics, metaheuristics, and MILP algorithms by Sharif Al-Mahmud, Jose Alejandro Cano, Emiro Antonio Campo, Stephan Weyers

“…Comparative analysis shows that Particle Swarm Optimization (PSO) outperforms GA, especially for small and medium-sized problems. …”
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Low voltage user power internet of things monitoring system based on LoRa wireless technology by Xiao Wang, Wei Zhao, Xixian Niu

“…Additionally, an optimization model based on a particle swarm optimization algorithm and backpropagation neural network for optimizing base station positioning and channel quality evaluation is proposed. …”
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Data-Driven Approaches for Diagnosis of Incipient Faults in Cutting Arms of the Roadheader by Qiang Liu, Songyong Liu, Qianjin Dai, Xiao Yu, Daoxiang Teng, Ming Wei

“…In this study, four machine learning tools (the back-propagation neural network based on genetic algorithm optimization, the naive Bayes based on genetic algorithm optimization, the support vector machines based on particle swarm optimization, and the support vector machines based on dynamic cuckoo) are applied to address the challenge in the IFDI of cutting arms. …”
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Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment by Shunlan Wang

“…To address the problem of low recognition rate of English pronunciation, this study proposes a sound recognition algorithm based on adaptive particle swarm optimization (PSO) matching pursuit (MP) sparse decomposition. …”
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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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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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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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