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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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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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Optimization of SVM MultiClass by Particle Swarm (PSO-SVM) [PDF]
2010 2nd International Workshop on Database Technology and Applications, 2010 In many problems of classification, the performances of a classifier are often evaluated by a factor (rate of error).the factor is not well adapted for the complex real problems, in particular the problems multiclass. Our contribution consists in adapting an evolutionary method for optimization of this factor.
Fatima Ardjani +2 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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SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis
Journal of Big Data, 2021 The Dimensionality Curse is one of the most critical issues that are hindering faster evolution in several fields broadly, and in bioinformatics distinctively. To counter this curse, a conglomerate solution is needed.
Khawla Tadist +4 more
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