Research of Multi-objective Parameter Decoupled Optimization Method for Hybrid Electric Vehicle by Yiran Zhang, Han Zhao, Kang Huang, Mingming Qiu

“…Aiming at this problem, a multi-parameter decouped optimization method is proposed, which adopts hybrid optimization strategy, taking the dynamic targets as constraint conditions and using particle swarm optimization algorithm to optimize powertrain parameter, the Particle swarm optimization (PSO) is used to optimize the energy management strategy and shifting strategy under different parameters. …”
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Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization by Chi Zeng, Jialing Li, Abbas Habibi

“…This study introduces an innovative approach that merges deep learning with metaheuristic algorithms to boost the efficiency of SER systems. Specifically, a stacked autoencoder (SAE) serves as the primary model, and its performance is fine-tuned using a nature-inspired hybrid algorithm that combines particle swarm optimization (PSO) with Grass Fibrous Root Optimization (GFRO). …”
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Prediction of true critical temperature and pressure of binary hydrocarbon mixtures: A Comparison between the artificial neural networks and the support vector machine by M. Etebarian, k. movagharnejad

“…In order to have a fair comparison and to achieve the highest efficiency, a comprehensive search method is used in neural network modeling, and a particle swram optimization algorithm for SVM modeling. …”
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PSO-PID-based optimization and HIL verification method for the rear-mounted linkage adjustment of hilly-mountainous tractors by Yiwei Wu, Chengkang Yao, Mengnan Liu, Jingyun Zhang, Lin Wang, Xiaoxiao Du, Xianghai Yan

“…In this paper, a rear-mounted linkage device with independent control of dual hydraulic cylinders is designed, and an optimization method for rear suspension adjustment based on Particle Swarm Optimization (PSO) algorithm to optimize the PID parameters is proposed. …”
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Improving energy efficiency for intelligent reflecting surface assisted PD-NOMA in EH relaying network by Hong Nguyen-Thi, Thuc Kieu-Xuan, Thang Le-Nhat, Anh Le-Thi

“…We also construct a Particle swarm optimization (PSO)-based program to optimize the EE depending on power allocation for NOMA users and phase shift of the IRS elements. …”
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A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles by Jong-Hyun Kim

“…To achieve this, we diffuse water temperature using a grid-based method and represent air bubbles within the ice shape using particles. To address the issues of noise and distorted dissolved air fields in previous methods, we propose the following improvements: 1) We synthesize the level-set of the ice shape into a spherical form to reduce noise and streamline the algorithm. 2) We propose an efficient method to control the termination condition of heat diffusion by utilizing the number of active particles and the initial dissolved oxygen level. 3) Unlike previous methods that calculated the dissolved air field only near air bubbles, we extend the diffusion to transparent regions, enabling the realistic representation of opaque ice shapes. 4) To accurately compute the directional properties of air bubbles, we introduce a level-set-based approach. 5) We extend the solver to control the generation of dissolved air fields and air bubbles based on water temperature. 6) Finally, we present a method to realistically visualize opaque ice shapes using Unreal Engine (UE). …”
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Efficient Real-Time Cost Management in Renewable Energy-Powered Microgrid with Integrated Electric Vehicle Charging/Discharging Control by Swati Sharma, Ikbal Ali

“…Through meticulous real-time monitoring and control, our hybrid PSO-GWO algorithm delivers superior performance, slashing costs by $152.47 for medium scale microgrid while reducing execution time by 0.81 seconds as compared to other metaheuristic algorithms. …”
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Quasi-preview control: A novel method for active structural vibration control subject to seismic disturbances using adaptive filters and multiple remote seismic observations by Shinya FUJIMURA, Tomohiro WATANABE, Kazuhiko HIRAMOTO

“…All design parameters in the quasi-preview control are optimized with the particle swarm optimization (PSO) algorithm. We demonstrate the proposed quasi-preview control method through simulations with recorded data of a major seismic event. …”
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Advanced parameter extraction optimization technique for the four-diode model approach by Bhanu Prakash Saripalli, Bharati Gamgula, Revathi Ravilisetty, Prashant Kumar, Gagan Singh, Sonika Singh

“…This work makes use of sophisticated forms of parameter extraction aimed at promoting the optimization of algorithms such as the one known as Advanced Dynamic Inertia-Particle Swarm Optimization with Velocity Clamping or ADIPSO-VC. …”
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A Semi-Trailer Path Planning Method Considering the Surrounding Traffic Conditions and Vehicle Roll Stability by Haochuan Zhang, Zhigen Nie, Yufeng Lian

“…Subsequently, we apply a particle swarm optimization algorithm to enhance the B-spline curve. …”
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An Adaptive Control Strategy for a Virtual Synchronous Generator Based on Exponential Inertia and Nonlinear Damping by Huiguang Pian, Keqilao Meng, Hua Li, Yongjiang Liu, Zhi Li, Ligang Jiang

“…Control parameters are optimized using an enhanced particle swarm optimization (PSO) algorithm based on a composite performance index that accounts for frequency deviation, overshoot, settling time, and power tracking error. …”
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Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique by Hafiz Ghulam Murtza Qamar, Xiaoqiang Guo, Ehab Seif Ghith, Mehdi Tlija, Abubakar Siddique

“…In the quest to improve energy management systems (EMS) and enhance power quality, a bi-level optimization approach named Particle swarm optimization-Modified water wave optimization (PSO-MWWO) has been proposed. …”
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Harmonic Analysis of Radial Distribution Systems Embedded Shunt Capacitors by Abdallah Elsherif, Tamer Fetouh, Hasan Shaaban

“…The obtained results verify the effectiveness of the introduced MOPSO algorithm for voltage THD minimization, power losses minimization and voltage enhancement of radial distribution systems.…”
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Study on the Reconstruction of the Spectral Pattern of Near-Island Reef Bimodal Waves by Weihang Sun, Yuguo Pei, Leilei Qu, Xiaobo Wang

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Discrete Element Simulations of Damage Evolution of NiAl-Based Material Reconstructed by Micro-CT Imaging by Arnas Kačeniauskas, Ruslan Pacevič, Eugeniuš Stupak, Jerzy Rojek, Marcin Chmielewski, Agnieszka Grabias, Szymon Nosewicz

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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

“…This study developed an advanced bankruptcy prediction model using Support Vector Machines (SVM), Random Forest (RF), and Artificial Neural Network (ANN) algorithms based on datasets from the UCI machine learning repository. …”
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Enhancing Wind Turbine Efficiency: An Experimental Investigation of a Sensorless Three-Vector Finite Set Predictive Torque Control Approach for PMSG-Based Systems by Marouane Ahmed Ghodbane, Toufik Mohamed Benchouia, Mohamed Chebaani, Mohamed Becherif, Yassine Himeur, Amar Golea, Abdelmoumen Ghilani, Zakaria Alili, Shadi Atalla, Wathiq Mansoor

“…This approach does not require an anemometer, mechanical parameters, or rotor position sensors, making the system simpler, more reliable, and cost-effective. The 3V FS-PTC algorithm enhances control performance by selecting the three most optimal voltage vectors, two active voltage vectors and one zero voltage vector. …”
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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

“…The approach leverages the maximum power point current ( $$\:{\text{I}}_{\text{mpp}}$$ ) and voltage ( $$\:{\text{V}}_{\text{mpp}}$$ ) measured directly from a PV module to predict irradiance, utilizing a Particle Swarm Optimization (PSO)-based Maximum Power Point Tracking (MPPT) algorithm to ensure accurate tracking of power output across varying irradiance levels. …”
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Integrated Reliability Assessment and Optimal Reconfiguration of Islanded Microgrids Under Load Growth Using Fick’s Law Optimization Algorithm and Long Short-Term Memory Tec... by Hieu M. Pham, Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan, Corina Barbalata

“…To address the complex, mixed-variable nature of the reconfiguration problem, the Fick’s Law Optimization (FLO) algorithm is proposed. The FLO algorithm is compared with other metaheuristic algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) algorithm, Non-dominated Sorting Genetic Algorithm II (NSGA-II), Artificial Bee Colony (ABC) algorithm, Grey Wolf Optimizer (GWO) algorithm, Equilibrium Optimizer (EO) algorithm, Runge-Kutta Optimizer (RUN) algorithm, and Honey Badger Algorithms (HBA) demonstrating superior performance in convergence speed, exploration–exploitation balance, and global optimality. …”
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Optimizing laser powder bed fusion parameters for enhanced hardness of Ti6Al4V alloys: A comparative analysis of metaheuristic algorithms for process parameter optimization by Praveenkumar V, Vijaykumar S. Jatti, Saiyathibrahim A, Praveen Kumar D, Murali Krishnan R, Vinaykumar S. Jatti, A. Johnson Santhosh

“…A comparative assessment of six metaheuristic algorithms, such as the JAYA algorithm, Cohort Intelligence (CI), Particle Swarm Optimization (PSO), Teaching-Learning-Based Optimization (TLBO), Genetic Algorithm (GA), and Simulated Annealing (SA), was performed for LPBF parameter optimization. …”
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