AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network by Sunil Ankeshwarapu

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Using The Hybrid GA-Ant Algorithm To Find The Optimal Path In Computer Networks by Ibtisam Turki

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An Improved Tuning of PID Controller for PV Battery-Powered Brushless DC Motor Speed Regulation Using Hybrid Horse Herd Particle Swarm Optimization by A. RamaKrishnan, A. Shunmugalatha, K. Premkumar

“…In this study, speed control of PV battery-powered brushless DC motor (BLDC) is controlled by novel hybrid horse herd particle swarm optimization- (HHHPSO-) tuned proportional integral derivative (PID) controller. …”
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Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

“…The study investigates the effectiveness of the Particle Swarm Optimization (PSO) method for balanced and unbalanced datasets and how well it improves sentiment analysis accuracy when applied to the Support Vector Machine (SVM) algorithm when using Radial Basis Function (RBF) kernel. …”
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Salp Swarm Algorithm for Node Localization in Wireless Sensor Networks by Huthaifa M. Kanoosh, Essam Halim Houssein, Mazen M. Selim

“…In this paper, a node localization scheme is proposed based on a recent bioinspired algorithm called Salp Swarm Algorithm (SSA). The proposed algorithm is compared to well-known optimization algorithms, namely, particle swarm optimization (PSO), Butterfly optimization algorithm (BOA), firefly algorithm (FA), and grey wolf optimizer (GWO) under different WSN deployments. …”
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Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy by Yang Liu, Dawei Liu, Keyi Kang, Guanqing Wang, Yanzhao Rong, Weijun Wang, Siyu Liu

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Optimized Intelligent Localization Through Mathematical Modeling and Crow Search Algorithms by Tamer Ramadan Badawy, Nesreen I. Ziedan

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A Method for Optimizing the Load Characteristic of Disc Cam-Follower Mechanisms With Oscillating Roller Followers by Xiao Zhenqian, Wang Wenge, Pan Yukang, Rao Xinghua

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A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

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Parameter Design and Performance Optimization of Aerostatic Bearing by YANG Chunmei, CAO Bingzhang

“…In this paper, problems such as loadcarrying capacity, low stiffness, and vibration caused by large volume flow rate of aerostatic bearing has been studied In order to solve these problems, the particle swarm optimization algorithm is used to optimize the key parameters of throttle orifice on aerostatic bearing The simplified twodimensional Reynolds equation is solved by finite element method and the mathematical model is built Based on this model, the main performance parameters such as loadcarrying capacity, stiffness and volume flow rate of aerostatic bearing are calculated The coupling relationship between the structural dimension parameters which determining the main performance of aerostatic bearing is analyzed The multiobjective optimization design of the structural dimension parameters is carried out by particle swarm optimization With the simulation calculation of the aerostatic bearing, the loadcarrying capacity, stiffness, volume flow rate and other relevant performances are calculated The main performance of the optimized aerostatic bearing is compared with the original data The results show that compared with the performance before optimization, the loadcarrying capacity, stiffness of the aerostatic bearing are increased by 17%, 363% and the volume flow rate is decreased by 434% And the problems such as low loadcarrying capacity, low stiffness, and vibration caused by large volume flow rate of aerostatic bearing has been solved…”
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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

“…Such methods include the methods of Swarm Intelligence: spiral dynamics algorithm, stochastic diffusion search, hybrid seeker optimization algorithm. …”
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Enhancing crane and gate OCR efficiency at container terminal using a hybrid genetic algorithm and neural network model: case study of tangier med port by Hamza Garmouch, Otman Abdoun

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PSO-Based Robust Control of SISO Systems with Application to a Hydraulic Inverted Pendulum by Michael G. Skarpetis, Nikolaos D. Kouvakas, Fotis N. Koumboulis, Marios Tsoukalas

“…In the second stage, a Particle Swarm Optimization Algorithm (PSO) is applied to find suboptimal solutions for the controller parameters in these regions, with respect to a suitable performance cost function. …”
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Portfolio optimization with MOPSO-Shrinkage hybrid model by Minh Tran, Nhat M. Nguyen

“…This paper introduces a novel framework for portfolio optimization that integrates Multi-Objective Particle Swarm Optimization (MOPSO) with shrinkage covariance estimators, referred to as the MOPSO-Shrinkage hybrid model. …”
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Bearing Fault Diagnosis in the Mixed Domain Based on Crossover-Mutation Chaotic Particle Swarm by Tongle Xu, Junqing Ji, Xiaojia Kong, Fanghao Zou, Wilson Wang

“…Finally, the support vector machine is optimized using the improved chaotic particle swarm to improve fault classification diagnosis. …”
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A resource allocation algorithm based on improved salp swarm algorithm in cognitive smart grid by SHEN Hongting

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STUDY ON CALCULATION METHOD OF STRESS SEPARATION BY OBLIQUE INCIDENCE TECHNIQUE by LIU XiaoMeng, DAI ShuGuang

“…Conventional method for solving nonlinear overdetermined equations is difficult,new particle swarm optimization algorithms are proposed for oblique incidence stress separation. …”
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Hierarchical Swarm Model: A New Approach to Optimization by Hanning Chen, Yunlong Zhu, Kunyuan Hu, Xiaoxian He

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Enhanced ANN-Based MPPT for Photovoltaic Systems: Integrating Metaheuristic and Analytical Algorithms for Optimal Performance Under Partial Shading by Alpaslan Demirci, Idriss Dagal, Said Mirza Tercan, Hasan Gundogdu, Musa Terkes, Umit Cali

“…The results demonstrate that the improved ANN-based MPPT algorithm consistently outperforms existing MPPT techniques, including the Perturb and Observe (P&O) and Grey Wolf Optimization (GWO), Harris Hawks Optimization (HHO), and Particle Swarm Optimization (PSO) methods. …”
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Multidimensional water-economic-ecological joint optimization for Manas River Basin, China, using a dual-population co-evolutionary algorithm by Jian Qin, Yongpeng Tong, Muhammad Arsalan Farid, Heng Zhang, Hao Tian, Xiaolong Li, Xinlin He, Lianqing Xue, Yi Li, Yongli Gao, Guang Yang

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