3D Pattern Synthesis of Time-Modulated Conformal Arrays with a Multiobjective Optimization Approach by Wentao Li, Yongqiang Hei, Jing Yang, Xiaowei Shi

“…The multiobjective particle swarm optimization (MOPSO) is applied to optimize the switch-on instants and pulse durations of the time-modulated conformal array. …”
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Extending WSN Lifetime with Enhanced LEACH Protocol in Autonomous Vehicle Using Improved K-Means and Advanced Cluster Configuration Algorithms by Cheolhee Yoon, Seongsoo Cho, Yeonwoo Lee

“…The simulation results demonstrate that the proposed approach improves performance in terms of the first node dead (FND) and 80% alive nodes metrics with mobility, compared to other LEACH protocols such as classical LEACH, LEACH-B, Improved-LEACH, LEACH with K-means, Particle Swarm Optimization (PSO), and LEACH-GK protocol, thereby enhancing network lifetime through optimal CH selection.…”
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Human-Centric IoT-Driven Digital Twins in Predictive Maintenance for Optimizing Industry 5.0 by Özlem Sabuncu, Bülent Bilgehan

“…The framework uses an enhanced particle swarm optimization (PSO) algorithm to reconcile competing goals, including maintaining operator safety, optimizing asset reliability, and minimizing maintenance costs. …”
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Optimizing enhanced coalbed methane recovery in thick lignite formations: An integrated technical and economic evaluation by Zhiming Fang, Shaicheng Shen

“…We evaluate the economic feasibility of ECBM under various gas injection scenarios and optimize key operational parameters through a coupled neural network model and particle swarm optimization algorithm. …”
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Jointly Optimizing Resource Allocation, User Scheduling, and Grouping in SBMA Networks: A PSO Approach by Jianjian Wu, Chanzi Liu, Xindi Wang, Chi-Tsun Cheng, Qingfeng Zhou

“…To tackle this NP-hard problem, we propose an effective algorithm based on Particle Swarm Optimization (PSO), featuring a carefully designed update function tailored specifically for the joint US and UG decisions required in SBMA. …”
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Analysis of Performance of SSSC FACTS Device Using PSO Based Optimal Power Flow Solutions by Smt Padma, Kanchapogu Vaisakh

“…The particle swarm optimization is used for solving the optimal power flow problem for steady-state studies. …”
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Multi-Objective Parameter Optimization of Electro-Hydraulic Energy-Regenerative Suspension Systems for Urban Buses by Zhilin Jin, Xinyu Li, Shilong Cao

“…To streamline multi-objective optimization processes, a particle swarm optimization–back propagation (PSO-BP) neural network surrogate model was developed to approximate the complex co-simulation system. …”
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Research on the Operation Optimization of Public Building Systems in Extremely Cold Areas Based on Flexible Loads by Chuan Tian, Shunli Jiang, Shuai Li, Guohui Feng, Bin Yu

“…A two-stage operation optimization method is proposed: the first stage simulates the starting and stopping control conditions of equipment at varying temperatures and times, selecting the optimal time period to regulate the thermal loads; the second stage employs a multi-objective particle swarm optimization algorithm to optimize the scheduling of the system’s electrical load. …”
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Stability Analysis and Support Optimization of Tunnel Surrounding Rock with Weak Interlayer Based on Catastrophe Theory by Tuo Zhang, Jinhai Zhao, Renfei Kuang, Chengyang Li

“…Finally, to minimize support construction costs, an optimization model is established by integrating the Particle Swarm Optimization (PSO) algorithm and the Radial Basis Function (RBF) neural network. …”
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Optimization of False Alarm Rate and Misdetection Rate for a Desired Threshold Voltage in Cooperative Communication by SATISH KUMAR GANNAMANENI, JIBENDU SEKHAR ROY

“…In this paper, real-coded genetic algorithm (RGA) and particle swarm optimization (PSO) are used in WSN to reduce TER. …”
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Analysis of power system transient stability with PSO-optimized distributed generation and HVDC transmission systems by Jiyeon Jang, Youngmin Gong, Seunghong Min, Insu Kim

“…These results suggest the importance of implementing careful HVDC system design and control strategies in existing power systems. The study used a particle swarm optimization (PSO) algorithm to ensure reliable and feasible DG deployment. …”
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Automatic Optimal Design Method for Minimum Total Resistance Hull Based on Enhanced FFD Method by Shuhui Guo, Baoji Zhang, Zheng Tian, Jie Liu, Hailin Tang

“…This study aimed to improve ship performance, particularly by reducing total resistance, through automated optimization methods. To this end, an integrated, fully automated optimization program was developed based on Python, incorporating Enhanced Free-Form Deformation (FFD) technology, scripted CFD numerical evaluation, and the Particle Swarm Optimization (PSO) algorithm. …”
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Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning by Hongwei Yi, Huan Zhang, Jianghong Li, Yanling Zhao

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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

“…This study applies the Random Forest (RF) algorithm combined with hyperparameter optimization methods including Grid Search (GS), Random Search (RS), Bayesian Optimization (BO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Optuna Optimization (OO) to build a predictive model. …”
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Operation Optimization of Combined Heat and Power Units Based on Energy Consumption, Economy and Carbon Emission by Xin REN, Du WANG, Yafei JIN, Zhigang WANG

“…Firstly, combining with the power peaking auxiliary market and carbon emission trading market, and taking the efficiency, profit and carbon emission rate as the objective functions, the multi-objective particle swarm algorithm is used to find the best power generation power considering the constraints related to the unit operation. …”
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Frequency Stability Enhancement of Microgrid Using Optimization Techniques-Based Adaptive Virtual Inertia Control by Philemon Yegon, Mukhtiar Singh

“…To overcome this challenge, an adaptive inertia control strategy based on optimization technique is proposed. The improved particle swarm optimization (PSO) and genetic algorithm (GA) optimization techniques-based PID controller has been used to generate the appropriate virtual inertia coefficient for effective emulation of inertia in the presence of energy storage system. …”
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An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System by Shengjun Wu, Qingshan Xu, Qun Li, Xiaodong Yuan, Bing Chen

“…Second, three indexes are presented to evaluate operational performance. Then, a particle swarm optimization (PSO) algorithm is developed to calculate the optimal charging power and to minimize the charging cost for each time slot. …”
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Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection by Rehan Rabie, Sahran Shahnorbanun, Alyasseri Zaid Abdi Alkareem, Sani Nor Samsiah, Al-Betar Mohammed Azmi

“…Further validation was provided by comparing the proposed OeSNN-ABC against five well-known optimization algorithms: particle swarm optimization, grey wolf optimization, flower pollination algorithm, whale optimization algorithm, and grid search, alongside other classifiers such as random forest, support vector machine, and k-nearest neighbor. …”
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Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed by Wei Zhang, Hao Chen, Ke Huang, Xing Shu, Cheng Fu, Bin Huang

“…Using dimensional analysis, key factors are transformed into dimensionless numbers, which are then input into models integrating least squares support vector machine (LSSVM) with genetic algorithm (GA), particle swarm optimization (PSO), and a hybrid GA-PSO (HGAPSO). …”
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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

“…This study introduces an innovative optimization strategy for Electro-Hydraulic Active Suspension Systems (EHASS), combining game theory with Particle Swarm Optimization (PSO) to tune backstepping control parameters. …”
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