A distributed PSO–SVM hybrid system with feature selection and parameter optimization
Top Cited Papers
- 30 September 2008
- journal article
- Published by Elsevier BV in Applied Soft Computing
- Vol. 8 (4), 1381-1391
- https://doi.org/10.1016/j.asoc.2007.10.007
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- A GA-based feature selection and parameters optimizationfor support vector machinesExpert Systems with Applications, 2006
- A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systemsComputer Standards & Interfaces, 2006
- A PSO and a Tabu search heuristics for the assembly scheduling problem of the two-stage distributed database applicationComputers & Operations Research, 2006
- A study of particle swarm optimization particle trajectoriesInformation Sciences, 2006
- Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimizationComputers & Operations Research, 2006
- Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO)Pattern Recognition Letters, 2005
- An improved GA and a novel PSO-GA-based hybrid algorithmInformation Processing Letters, 2005
- A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimisationMathematics and Computers in Simulation, 2005
- An improved PSO-based ANN with simulated annealing techniqueNeurocomputing, 2005
- Neural networks for classification: a surveyIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2000