Designing broadband cross-polarization conversion metasurfaces using binary particle swarm optimization algorithm by Jiao Wang, Wei-Qi Gu, Xin-Cheng Zhao, Yan-Nan Jiang, Kai-Da Xu

“…And based upon the coding metasurfaces and β′, this work first employs the Python-programmed binary particle swarm optimization algorithm to accomplish the optimal design of reflective broadband CPMs. …”
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Improved Snake Optimization and Particle Swarm Fusion Algorithm Based on AUV Global Path Planning by Haobo Jiang, Xinghong Kuang

“…Second, the designed mathematical framework for three-dimensional path planning comprehensively considers a variety of constraints such as sailing distance, path threat, sailing altitude, and optimized ocean current energy consumption. Finally, ISO diversifies the snake population’s distribution space by implementing a good point set initialization approach, a Cauchy variation strategy to enhance the convergence accuracy, and a fusion particle swarm algorithm strategy to improve the convergence speed. …”
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Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm by Si Zhang, Heying Zhu, Xia Li, Yan Wang

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3D Flight Path Planning for UAV Based on Improved Particle Swarm Optimization Algorithm by Cunjie Li, Qingli Zhao, Canyi Che

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Optimization Design of the Two-Stage Reduction Micro-Drive Mechanism Based on Particle Swarm Algorithm by Na Zhang, Dongmei Wang, Kai Li, Kaiyang Wei, Hongyu Ge, Manzhi Yang

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Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System by Sahazati Md Rozali, Mohd Fua’ad Rahmat, Abdul Rashid Husain

“…Since the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA) and particle swarm optimization (PSO) techniques are used to optimise these parameters in order to achieve a predefined system performance. …”
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5G network slicing function migration mechanism based on particle swarm optimization algorithm by Qiang CHEN, Caixia LIU, Lingshu LI

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Strategic scheduling of the electric vehicle-based microgrids under the enhanced particle swarm optimization algorithm by Saeed Abdollahi Khou, Javad olamaei, Mohammad Hassan Hosseini

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Multi-objective particle swarm optimization algorithm for task allocation and archived guided mutation strategies by Jianjie Chen, Yanmin Liu, Yi Luo, Aijia Ouyang, Jie Yang, Wuer Bai

“…Abstract In this paper, we propose a novel multi-objective particle swarm optimization algorithm with a task allocation and archive-guided mutation strategy (TAMOPSO), which effectively solves the problem of inefficient search in traditional algorithms by assigning different evolutionary tasks to particles with different characteristics. …”
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Multiscale Modeling and Reconstruction of Joint Motion: Finite Element Optimization Based on Particle Swarm Algorithm by Jiaju Zhu, Zhong Zhang, Runnan Liu, Meixue Ren, Guodong Ma

“…High-resolution CT and MRI scans of the knee joint were utilized to construct an accurate 3D reconstruction model, while the particle swarm algorithm was implemented to optimize joint positioning. …”
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Harmonic oscillator based particle swarm optimization. by Yury Chernyak, Ijaz Ahamed Mohammad, Nikolas Masnicak, Matej Pivoluska, Martin Plesch

“…Here, we present a novel method that integrates particle swarm optimization (PSO), a highly effective and widely used algorithm inspired by the collective behavior of bird flocks searching for food, with the physical principle of conserving energy and damping in harmonic oscillators. …”
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Phase Retrieval Utilizing Particle Swarm Optimization by Li-Jing Li, Teng-Fei Liu, Ming-Jie Sun

“…In this work, we proposed an iterative algorithm to retrieve the global optimal phase information by adopting particle swarm optimization technique to the hybrid input–output scheme. …”
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Air Quality Prediction Using Neural Networks with Improved Particle Swarm Optimization by Juxiang Zhu, Zhaoliang Zhang, Wei Gu, Chen Zhang, Jinghua Xu, Peng Li

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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

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HEPSO-SMC: a sliding mode controller optimized by hybrid enhanced particle swarm algorithm for manipulators by Zhongwei Liu, Tianyu Zhang, Sibo Huang, He Wang

“…To improve the performance of SMC, this paper applies a hybrid enhanced particle swarm optimization algorithm (HEPSO) to optimize the parameters, including $$c_{1}$$ , $$c_{2}$$ , $$\varepsilon$$ and $$k$$ , of SMC (HEPSO-SMC). …”
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Research on Particle Swarm Optimization-Based UAV Path Planning Technology in Urban Airspace by Qing Cheng, Zhengyuan Zhang, Yunfei Du, Yandong Li

“…In this study, an improved particle swarm optimization algorithm (LGPSO) is proposed to address these problems. …”
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Numerical Optimization of Drucker-Prager-Cap Model Parameters in Powder Compaction Employing Particle Swarm Algorithms by Sanaz Davarpanah, Madjid Allili, Seyed Soheil Mousavi Ajarostaghi

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The Optimal Location of Interline Power Flow Controller in the Transmission Lines for Reduction Losses using the Particle Swarm Optimization Algorithm by Mehrdad Ahmadi Kamarposhti

“…This paper proposed, the optimal location of the IPFC in electrical power systems, using the particle swarm optimization algorithm. …”
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Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization by Bamidele A. Dada, Nnamdi I. Nwulu, Seun O. Olukanmi

“…In addition, it examines 2,000 random surface soil samples, ranging from 0 to 20 cm, that were optimized using genetic algorithms (GA), particle swarm optimization (PSO), and Optuna. …”
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On the optimal control of single-stage hybrid manufacturing systems via novel and different variants of particle swarm optimization algorithm by M. Senthil Arumugam, M. V. C. Rao

“…This paper presents several novel approaches of particle swarm optimization (PSO) algorithm with new particle velocity equations and three variants of inertia weight to solve the optimal control problem of a class of hybrid systems, which are motivated by the structure of manufacturing environments that integrate process and optimal control. …”
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