Multi-Timescale Nested Hydropower Station Optimization Scheduling Based on the Migrating Particle Whale Optimization Algorithm by Mi Zhang, Guosheng Zhou, Bei Liu, Dajun Huang, Hao Yu, Li Mo

“…To address these limitations, this paper proposes the Migrating Particle Whale Optimization Algorithm (MPWOA), which initializes the population using chaotic mapping, incorporates a particle swarm mechanism to enhance exploitation during the spiral predation phase, and integrates the black-winged kite migration mechanism to improve stochastic search performance. …”
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A comparative approach of single-objective optimization algorithms for energy control of flexible manufacturing system by Marius-Adrian PĂUN, Eugenia MINCĂ, Sergiu Stelian ILIESCU, Nicoleta ARGHIRA, Florin DRAGOMIR

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Optimized solar PV integration for voltage enhancement and loss reduction in the Kombolcha distribution system using hybrid grey wolf-particle swarm optimization by Awot Getachew Abera, Tefera Terefe Yetayew, Assen Beshr Alyu

“…A hybrid optimization approach combining Particle Swarm Optimization and Grey Wolf Optimization algorithms is proposed for determining optimal sizing and placement of PV-based DGs. …”
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Cable Force Optimization of Circular Ring Pylon Cable-Stayed Bridges Based on Response Surface Methodology and Multi-Objective Particle Swarm Optimization by Shengdong Liu, Fei Chen, Qingfu Li, Xiyu Ma

“…This study proposes a hybrid approach combining Response Surface Methodology (RSM) and Multi-Objective Particle Swarm Optimization (MOPSO) to overcome these challenges. …”
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Metaheuristic Algorithms for Optimization: A Brief Review by Vinita Tomar, Mamta Bansal, Pooja Singh

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Research on Oil Well Production Prediction Based on GRU-KAN Model Optimized by PSO by Bo Qiu, Jian Zhang, Yun Yang, Guangyuan Qin, Zhongyi Zhou, Cunrui Ying

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Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm by Yongjian Dong

“…Therefore, this study proposes a classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO (graph neural networks and particle swarm optimization). The model uses the powerful feature extraction ability of GNN to dig deep into the internal relationship between educational resources. …”
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Challenges and Opportunities for Applying Meta-Heuristic Methods in Vehicle Routing Problems: A Review by Wayan Firdaus Mahmudy, Agus Wahyu Widodo, Alfabiet Husien Haikal

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Control parameter identification method for virtual synchronous generator considering electric vehicles based on dynamic particle swarm optimization by Dongqi Wu, Yong Hu

“…To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method for the Virtual Synchronous Generator (VSG) converter model considering the integration of electric vehicles (EVs) based on the dynamic particle swarm optimization algorithm is proposed. …”
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An overview of Cuckoo Optimization Algorithm based Image Processing by Baydaa sulaiman

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Sleep scheduling-aware minimum power broadcast in wireless ad hoc networks based on discrete particle swarm optimization by Xiao-jian ZHU, Jun SHEN

“…For the minimum power broadcast scheduling problem where network uses sleep scheduling and each node's transmission power is continuously adjustable,a recursive approach to compute the optimal transmission scheduling of a node was firstly presented,and then a discrete particle swarm optimization algorithm to construct the minimum power broadcast scheduling was proposed.This algorithm searches for the optimal broadcast arborescence,and utilizes the greedy algorithm based on the minimization of the broadcast's power increment and the local optimization algorithm based on the heuristic adjustment of the broadcast arborescence to improve the convergence speed and the result quality.The simulation results show that the proposed algorithm is able to effectively reduce the broadcast power.…”
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Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization by Ye Cai, Weipeng Guan, Yuxiang Wu, Canyu Xie, Yirong Chen, Liangtao Fang

“…To solve these problems, a novel VLC positioning system based on modified particle swarm optimization (PSO) algorithm is put forward in this article. …”
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Research on fuzzy proportional–integral–derivative (PID) control of bolt tightening torque based on particle swarm optimization (PSO) by X. Cheng, Z. Guo, J. Ke

“…To enhance the precision of bolt tightening, this paper introduces a particle swarm optimization (PSO) algorithm to optimize a fuzzy proportional–integral–derivative (FPID) controller. …”
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A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions by Yanfei Liu, Hao Zhang, Hao Zheng, Qi Li, Qi Tian

“…However, existing particle swarm optimization (PSO) algorithms struggle with these problems as they fail to consider UAV dynamics, resulting in many infeasible solutions and poor convergence to optimal solutions. …”
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Sensor-layout Optimization of Autonomous Vehicle Based on Perceptual Area Coverage by AN Tai, DIAO Wangcheng

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Automated Pruning Framework for Large Language Models Using Combinatorial Optimization by Patcharapol Ratsapa, Kundjanasith Thonglek, Chantana Chantrapornchai, Kohei Ichikawa

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Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

“…In this paper, we propose an improved method for the early objective diagnosis of depression utilizing an empirical wavelet transform (EWT) technique enhanced by a particle swarm optimization-support vector machine (PSO-SVM) algorithm. …”
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Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest by X Peng, C Chen, L Yu, X Kong, B Sun

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Optimum Allocation of Microgrid and D-STATCOM in Radial Distribution System for Voltage Profile Enhancement Using Particle Swarm Optimization by Mezigebu Getinet Yenealem

“…Particle swarm optimization (PSO), a powerful and efficient metaheuristic algorithm, is utilized to determine the optimal sizing of MG and D-STATCOM controllers. …”
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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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