Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks by Honghao Gao, Kang Zhang, Jianhua Yang, Fangguo Wu, Hongsheng Liu

“…Hybrid service compositions can be varied, representing an effective method of integrating into wireless scenarios context-aware applications that can sense mobility via changes in user location and combining services to support target functions. In this article, improved particle swarm optimization is introduced into the quality service evaluation of dynamic service composition to meet the mobility requirements of hybrid networks. …”
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Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization by Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li

“…According to the experimental findings, the proposed method exhibits a superior noise reduction effect, as evidenced by its smaller mean absolute error (MAE) and mean square error (MSE) compared to alternative techniques such as variational mode decomposition (VMD) combined with wavelet transform (WT), back propagation (BP) neural network optimized Kalman filter and particle swarm optimization (PSO) improved Kalman filter. …”
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Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

“…In this paper, a MIML algorithm encoded with local label correlations with an improved Multi-Objective Particle Swarm Optimization (MIML-MOPSO-LLC) is proposed to address the above problems. …”
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Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars by Zhang Fuxiang, Zheng Yu, Huang Yongjian, Wang Chunmei, Huang Fengshan

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Robot welding trajectory optimization based on intersecting line welds by FAN Chenhui, LIU Huan, LIU Xuan, TANG Xiang

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Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements by Cheng Chen, Guan-Nian Chen, Song Feng, Xiao-Zhen Fan, Liang-Tong Zhan, Yun-Min Chen

“…This study presents a novel prediction method using an extreme learning machine (ELM) optimized by an improved particle swarm optimization (IPSO) algorithm. …”
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Identification method of canned food for production line sorting robot based on improved PSO-SVM by GAO Haiyan, GAO Jinyang, WANG Weicheng

“…By improving the particle swarm optimization algorithm to optimize support vector machine parameters, an optimized support vector machine classification model was obtained. …”
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A New Speed Measurement System and Its Algorithm for Medium and Low Speed Maglev Train by ZHANG Zhengfang, JIANG Jie, GAN Weiwei, LU Xueyun, ZHAO Xufeng

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An improved multiclass classification of acute lymphocytic leukemia using enhanced glowworm swarm optimization by Saranya N, Kalamani M

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Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines by L. A. Demidova, A. V. Gorchakov

“…These approaches are based on the genetic algorithm, the particle swarm algorithm, the fish school search algorithm, as well as the chaotic fish school search algorithm with exponential step decay proposed by the authors. …”
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BDCOA: Wavefront Aberration Compensation Using Improved Swarm Intelligence for FSO Communication by Suhas Shankarnahalli Krishnegowda, Arvind Kumar Ganesh, Parameshachari Bidare Divakarachari, Veena Yadav Shankarappa, Nijaguna Gollara Siddappa

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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer by Xiao Wei, Liu Chanjuan, Jiang Ke, Ye Linyun, Gao Jinxing, Wang Quanbing

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Distributed Photovoltaic Power Energy Generation Prediction Based on Improved Multi-objective Particle Algorithm by Yuanzheng Xiao, Huawei Hong, Feifei Chen, Xiaorui Qian, Ming Xu, Hanbin Ma

“…This study developed a highly accurate DPV power prediction method by optimizing a Long Short-Term Memory (LSTM) network's hyperparameters using an improved Multi-Objective Particle Swarm Optimization (MO-PSO) algorithm. …”
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Application of Particle Swarm Algorithm in Nanoscale Damage Detection and Identification of Steel Structure by Ying Zhang

“…Second, two test functions are used to compare and analyze, which shows that the improved particle swarm algorithm has better optimization performance. …”
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Differential protection of distribution network based on 5G and particle swarm algorithm by HAO Hanbing, WANG Tongwen, ZHU Sijie, HOU Zhengquan, HUANG Yuhui

“…The hazards and solutions of 5G network communication delay and delay jitter are analyzed, and the network slicing technology, optimization of upstream scheduling, optimization of bit error rate and air interface retransmission, optimization of transmission priority and other methods are introduced to reduce communication delay and delay jitter, and the improved particle swarm algorithm is used to optimize parameters. …”
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A Particle Swarm Optimization-Guided Ivy Algorithm for Global Optimization Problems by Kaifan Zhang, Fujiang Yuan, Yang Jiang, Zebing Mao, Zihao Zuo, Yanhong Peng

“…To address this challenge, this paper proposes an enhanced ivy algorithm guided by a particle swarm optimization (PSO) mechanism, referred to as IVYPSO. …”
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Localization Algorithm in Wireless Sensor Networks Based on Multiobjective Particle Swarm Optimization by Ziwen Sun, Li Tao, Xinyu Wang, Zhiping Zhou

“…Based on multiobjective particle swarm optimization, a localization algorithm named multiobjective particle swarm optimization localization algorithm (MOPSOLA) is proposed to solve the multiobjective optimization localization issues in wireless sensor networks. …”
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Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation by Dan Yu, Peng Yang, Weijun Zhu

“…A two-layer hydrogen storage power generation system capacity optimization configuration model was established, an improved particle swarm optimization algorithm was used to solve the improved hydrogen storage power generation system capacity optimization configuration model, and the capacity optimization configuration results were obtained. …”
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An improved energy saving clustering method for IWSN based on Gaussian mutation adaptive artificial fish swarm algorithm by Yeshen Lan, Chuchu Rao, Qike Cao, Bingyu Cao, Mingan Zhou, Bo Jin, Fengjiang Wang, Wei Chen

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Research on Cooperative Search and Dynamic Target Encirclement of Unmanned Surface Vehicle Swarms Based on Improved Pheromone Algorithm by Antong Zhang, Yunfan Yang, Zhuo Chen, Tao Bao, Yu Guo, Xu Liu, Wenhui Yin

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