Adaptive fractional-order Darwinian particle swarm optimization algorithm by Tong GUO, Ju-long LAN, Yu-feng LI, Shi-wen CHEN

“…To overcome such shortcom-ing, an adaptive fractional-order Darwinian particle swarm optimization (AFO-DPSO) algorithm was proposed. …”
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Adaptive fractional-order Darwinian particle swarm optimization algorithm by Tong GUO, Ju-long LAN, Yu-feng LI, Shi-wen CHEN

“…To overcome such shortcom-ing, an adaptive fractional-order Darwinian particle swarm optimization (AFO-DPSO) algorithm was proposed. …”
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An Adaptive Hybrid Chicken Swarm-Particle Swarm Optimization Algorithm by XIAO Yuhe, LI Maojun, QI Zhan, LIU Fu

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Building Construction Design Based on Particle Swarm Optimization Algorithm by Wenxue Song

“…In order to take a scientific risk control strategy to reduce the safety risk of construction projects, a construction safety risk decision-making method based on particle swarm optimization algorithm was proposed. …”
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Simple gravitational particle swarm algorithm for multimodal optimization problems. by Yoshikazu Yamanaka, Katsutoshi Yoshida

“…Aiming to help the decision makers even if they are non-experts in optimization algorithms, this study proposes a new and simple multimodal optimization (MMO) algorithm called the gravitational particle swarm algorithm (GPSA). …”
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Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images by Pingli Sun, Chenxia Wang, Min Li, Lanqi Liu

“…By dissecting the partial differential equation (PDE) denoising process, we establish a new iterative denoising algorithm. …”
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Routing Algorithms Based on Partial Deployment of SAVA Nodes in Trustworthy Internet by Lei Guo, Xingwei Wang, Dong Wang, Weigang Hou

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Multipath Estimation of Navigation Signals Based on Extended Kalman Filter–Genetic Algorithm Particle Filter Algorithm by Jie Li, Xiyan Sun, Yuanfa Ji, Jingjing Li, Long Li

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Optimization Management of Storage Location in Stereoscopic Warehouse by Integrating Genetic Algorithm and Particle Swarm Optimization Algorithm by Shuhong Zhang, Xianghui Zheng, Fan Xu, Suzhen Wang, Qixia Zhang, Yuan Cao

“…These results confirmed that the proposed algorithm had significantly lower iteration times than traditional particle swarm optimization in different warehouse sizes and types of goods. …”
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Target tracking algorithm for wireless sensor networks based on particle swarm optimization and metropolis-hasting sampling particle filter by Peng JIANG, Hua-hua SONG, Guang LIN

“…For the characteristic of the nonlinear relationship between the observation information of sensor nodes and the target dynamic parameters under the real application conditions, a target tracking algorithm for wireless sensor networks based on particle swarm optimization and Metropolis-Hasting sampling particle filter was proposed. …”
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Wireless sensor indoor positioning based on an improved particle filter algorithm by Pan Feng, Danyang Qin, Guangchao Xu, Ruolin Guo, Min Zhao

“…The algorithm assigns weights to the particles based on the residuals and selects the appropriate particles. …”
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A Hybrid Adaptive Particle Swarm Optimization Algorithm for Enhanced Performance by Zhengfeng Jiang, Daoheng Zhu, Xiao-Yu Li, Ling-Bo Han

Subjects: “…particle swarm optimization algorithms…”
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Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm by Tieying Jiang, Liang Jiang

“…The parametric mathematical model of the airfoil and aerodynamic parameter proxy model of airfoil were constructed using the Hicks-Henne improved function and CFD solution sample, focusing on the issues with particle swarm optimization algorithms such as slow convergence, a tendency to fall into local optimal solutions, and oscillation at a late stage; an optimization method for the low-speed airfoil of a small UAV based on improved particle swarm optimization was developed. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. …”
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Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

Subjects: “…Particle Swarm Optimization algorithm…”
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Search Guidance Network Assisted Dynamic Particle Swarm Optimization Algorithm by LIU Zhi, SONG Wei

“…In dynamic optimization problems (DOPs), environmental changes can be characterized as different dynamics, and adaption of dynamic optimization algorithms (DOAs) in different dynamic environments is vital. …”
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A Hybrid Particle Swarm Optimization Algorithm for the Economic Dispatch Problem by Dinu Secui

“…This article proposes a hybrid global-local algorithm - Hybrid Particle Swarm Optimization (HPSO) - applied to solve the Economic Dispatch (ED) problem. …”
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Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm by Shaoming ZHANG, Siqing SHENG

“…The elite reverse learning strategy and the worst particle exclusion method are introduced into particle swarm optimization algorithm (Particle Swarm Optimization, PSO) to solve the multi-objective and multi-constraint optimal operation problems of microgrid. …”
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IDS alert clustering algorithm based on chaotic particle swarm optimization by Xiao-bo XU, Qin-qin JIANG, Kang-feng ZHENG, Bin WU, Yi-xian YANG

“…In order to improve the quality of alerts in intrusion detection system (IDS) and reduce the large number of redundant alarms, an IDS alerts clustering algorithm based on chaotic particle swarm optimization was proposed.It made the motion of particles with characteristics of chaos,so as to make particles move between the state of chaos and stable, and gradually close to the optimal value. …”
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Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm by Mohammad Naebi, Eshaghali Saberi, Sirous Risbaf Fakour, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Somayeh Ansari Moghadam, Elham Bozorgmehr, Nasim Davtalab Behnam, Hamidreza Azimi

“…In the present work, we explain PSO algorithm with our detection formula for detection of dental caries and restoration. …”
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