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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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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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Modified Particle Swarm Optimization using Nonlinear Decreased Inertia Weight
Emitter: International Journal of Engineering Technology, 2016 Particle Swarm Optimization (PSO) has demonstrated great performance in various optimization problems. However, PSO has weaknesses, namely premature convergence and easy to get stuck or fall into local optima for complex multimodal problems.
Alrijadjis . +3 more
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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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A New Kind of Pso: Predator Particle Swarm Optimization [PDF]
International Journal on Smart Sensing and Intelligent Systems, 2012 Abstract Today, swarm intelligence is widely used in optimization problems. PSO is one the best swarm intelligence methods. In the method, each particle moves toward the direction in which the best individual and group experience has happened. The most important disadvantage of this method is that it falls in local optima.
Mehdi Neshat +3 more
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