Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method by Mu Lin, Zhao-Huanyu Zhang, Hongyu Zhou, Yongtao Shui

“…Next, an improved particle swarm optimization algorithm is developed based on the Gaussian perturbation method to generate the optimal trajectory. …”
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Parameter Estimation in Ordinary Differential Equations Modeling via Particle Swarm Optimization by Devin Akman, Olcay Akman, Elsa Schaefer

“…Here, we implement Particle Swarm Optimization, which draws inspiration from the optimizing behavior of insect swarms in nature, as it is a simple and efficient method for fitting models to data. …”
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Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities by Jun-qing Li, Quan-ke Pan, Kun Mao

“…A hybrid algorithm which combines particle swarm optimization (PSO) and iterated local search (ILS) is proposed for solving the hybrid flowshop scheduling (HFS) problem with preventive maintenance (PM) activities. …”
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A Multiobjective Particle Swarm Optimization Algorithm Based on Grid Technique and Multistrategy by Kangge Zou, Yanmin Liu, Shihua Wang, Nana Li, Yaowei Wu

“…To enhance the convergence and diversity of the multiobjective particle swarm algorithm, a multiobjective particle swarm optimization algorithm based on the grid technique and multistrategy (GTMSMOPSO) is proposed. …”
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Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm by Hyunseok Kim, Seongju Chang, Jinsul Kim

“…To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensing information via local fusing with neighbors rather than through centralized control; the new framework showed a 16.5 percent improvement in consensus achievement as compared to the classic majority rule method. …”
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Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption by Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang

“…Finally, the signal is extracted using the Levi flight strategy based on kurtosis and the quantum particle swarm optimization optimized by the greedy algorithm (KLG-QPSO). …”
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Stochastic Optimized Relevance Feedback Particle Swarm Optimization for Content Based Image Retrieval by Muhammad Imran, Rathiah Hashim, Abd Khalid Noor Elaiza, Aun Irtaza

“…To improve the performance of RF, this paper has proposed a new technique, namely, PSO-SVM-RF, which combines SVM based RF with particle swarm optimization (PSO). The aims of this proposed technique are to enhance the performance of SVM based RF and also to minimize the user interaction with the system by minimizing the RF number. …”
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A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems by Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin

“…To better solve MaOPs, this paper presents a novel angular-guided particle swarm optimizer (called AGPSO). A novel velocity update strategy is designed in AGPSO, which aims to enhance the search intensity around the particles selected based on their angular distances. …”
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Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization by Munish Rattan, Manjeet Singh Patterh, B. S. Sohi

“…Particle swarm optimization (PSO) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. …”
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Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization by Dong-yun Wang, Chen Guan

“…Optimal control using particle swarm optimization (PSO) is put forward in a parallel hybrid hydraulic excavator (PHHE). …”
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A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies by Huarong Xu, Qianwei Deng, Zhiyu Zhang, Shengke Lin

Subjects: “…Particle swarm optimization (PSO)…”
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Dynamic Parameter Identification of Tool-Spindle Interface Based on RCSA and Particle Swarm Optimization by Erhua Wang, Bo Wu, Youmin Hu, Shuzi Yang, Yao Cheng

“…This study proposed an identification method to recognize the connection parameters at the tool-holder interface by using RCSA and particle swarm optimization (PSO). In this paper, the XHK machining center is divided into two components, which are the tool and the spindle assembly firstly. …”
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Parameters Optimization of Multipass Milling Process by an Effective Modified Particle Swarm Optimization Algorithm by Cuiyu Wang, Wenwen Wang, Yiping Gao, Xinyu Li

“…This research focuses on determining the optimal parameters of a multipass milling process using an improved particle swarm optimization (PSO) method. The objective is to minimize the production time. …”
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Evaluation and Analysis of Multimedia Collaborative Building Design Relying on Particle Swarm Optimization Algorithm by Tao Yang

“…It also proposes the import of “with tutor” type data of particle swarm optimization algorithm as well as the self-organizing neural network evaluation model and calculation method of “no tutor” type resource import. …”
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Inverse Modeling of Nonlinear Artificial Muscle Using Polynomial Parameterization and Particle Swarm Optimization by Mohd Azuwan Mat Dzahir, Shin-ichiroh Yamamoto

“…The regression constants of these coefficients were characterized from the hysteresis dataset by using model parameter identification and the particle swarm optimization (PSO) method. The result from model simulation shows the root mean square error (RMSE) value of less than 10% error was evaluated at various excitation frequencies and external forces. …”
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Multiple Parameters Determination Method of Hardening Soil Model Based on Particle Swarm Optimization by Jingfeng Xiao, Qunwei Wang, Qianhui Zhang, Yunpeng Hei, Youliang Zhang

“…The stress–strain curve is derived by conducting triaxial testing, utilizing the inherent properties of the particle swarm optimization (PSO) technique. The objective function entails quantifying the disparity between stress–strain curves obtained from various parameters and experimental curves while iteratively searching for five crucial parameters of soil-hardening models: effective internal friction angle φ, effective cohesion, failure ratio Rf, stiffness level-dependent power exponent, and standard triaxial-drained test secant stiffness E50ref. …”
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The Small-Signal Stability of Offshore Wind Power Transmission Inspired by Particle Swarm Optimization by Jiening Li, Hanqi Huang, Xiaoning Chen, Lingxi Peng, Liang Wang, Ping Luo

“…In order to improve the weak damping of the power system, this paper presents a method to determine the parameters of the power system stabilizer (PSS) based on the particle swarm optimization (PSO) algorithm combined with different inertia weight functions. …”
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Joint Optimization of Microstrip Patch Antennas Using Particle Swarm Optimization for UWB Systems by Muhammad Zubair, Muhammad Moinuddin

“…Moreover, we employ particle swarm optimization (PSO) algorithm for our problem as it is well known in the literature that PSO performs well in electromagnetic and antenna applications. …”
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An Improved Particle Swarm Optimization-Powered Adaptive Classification and Migration Visualization for Music Style by Xiahan Liu

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Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models by Jasim Ghaeb, Ibrahim Al-Naimi, Malek Alkayyali

“…In this paper, an intelligent integrated approach is proposed to control the reactive power and restore the voltage balance in a three-phase power system using particle swarm optimization (PSO), Gaussian process regression (GPR), and support vector machine (SVM). …”
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