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GREEN-PSO: Conserving Function Evaluations in Particle Swarm Optimization [PDF]
Proceedings of the 5th International Joint Conference on Computational Intelligence, 2013 particle swarm optimization; swarm intelligence. In the Particle Swarm Optimization (PSO) algorithm, the expense of evaluating the objective function can make it difficult, or impossible, to use this approach effectively; reducing the number of necessary
Stephen M. Majercik
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Research on Bearing Fault Diagnosis Method Based on IPSO-RVM
Journal of Harbin University of Science and Technology, 2022 Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han +4 more
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An Overview of Variants and Advancements of PSO Algorithm
Applied Sciences, 2022 Particle swarm optimization (PSO) is one of the most famous swarm-based optimization techniques inspired by nature. Due to its properties of flexibility and easy implementation, there is an enormous increase in the popularity of this nature-inspired ...
Meetu Jain +3 more
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Automatic Generation Method of Test Case Based on RACPSO [PDF]
Jisuanji gongcheng, 2016 To solve the problem of slow convergence rate,high possibilities of being trapped in local optimum,and low solution accuracy in Particle Swarm Optimization(PSO) algorithm when applied to automatic software Test Case(TC) generation,this paper presents an ...
HE Ying,XU Weihong,LI Yanglin
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IEEE Access, 2022 To improve the performance, robustness and stability of autotuning the proportional integral and derivative (PID) parameter, the novel stable particle swarm optimization (NSPSO) is proposed in this paper.
Wudhichai Assawinchaichote +2 more
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Learning Competitive Swarm Optimization
Entropy, 2022 Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO encounters some troubles associated with the excessive loss of population ...
Bożena Borowska
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International Journal of Information Security, 2022 AbstractIn this paper, we present an unified framework that encompasses both particle swarm optimization (PSO) and federated learning (FL). This unified framework shows that we can understand both PSO and FL in terms of a function to be optimized by a set of agents but in which agents have different privacy requirements.
Vicenç Torra +2 more
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Particle swarm optimization with composite particles in dynamic environments [PDF]
, 2010 This article is placed here with the permission of IEEE - Copyright @ 2010 IEEEIn recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments.
Liu, L, Wang, D, Yang, S
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Advances in Civil Engineering, 2021 To overcome the problem of particle swarm optimization (PSO) being trapped in local minima, a particle swarm optimization algorithm combined with non-Gaussian stochastic distribution is presented for optimization design of wind turbine blade.
Fangjin Sun, Zhonghao Xu, Daming Zhang
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Dual-Stage Hybrid Learning Particle Swarm Optimization Algorithm for Global Optimization Problems
Complex System Modeling and Simulation, 2022 Particle swarm optimization (PSO) is a type of swarm intelligence algorithm that is frequently used to resolve specific global optimization problems due to its rapid convergence and ease of operation.
Wei Li +5 more
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