A distributed PSO-SVM hybrid system with feature selection and parameter optimization

Authors:
Cheng-Lung Huang;Jian-Fan Dun
Affiliations:
Department of Information Management, National Kaohsiung First University of Science and Technology, 2 Juoyue Road, Nantz District, Kaohsiung 811, Taiwan, ROC;Department of Information Management, Huafan University, Taipei, Taiwan, ROC
Venue:
Applied Soft Computing
Year:
2008

Citing 20
Cited 27

The nature of statistical learning theory

The nature of statistical learning theory
Pairwise classification and support vector machines

Advances in kernel methods
An introduction to support Vector Machines: and other kernel-based learning methods

An introduction to support Vector Machines: and other kernel-based learning methods
Swarm intelligence

Swarm intelligence
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach

Data Mining and Knowledge Discovery
A Simple Decomposition Method for Support Vector Machines

Machine Learning
Further Research on Feature Selection and Classification Using Genetic Algorithms

Proceedings of the 5th International Conference on Genetic Algorithms
Interoperable Web-based Data Mining System by Java Distributed Object Computing

HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
Feature Selection for Support Vector Machines by Means of Genetic Algorithms

ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimisation

Mathematics and Computers in Simulation
Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization

Computers and Operations Research
A PSO and a tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application

Computers and Operations Research
A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems

Computer Standards & Interfaces
Building credit scoring models using genetic programming

Expert Systems with Applications: An International Journal
An improved GA and a novel PSO-GA-based hybrid algorithm

Information Processing Letters
A study of particle swarm optimization particle trajectories

Information Sciences: an International Journal
Letters: An improved PSO-based ANN with simulated annealing technique

Neurocomputing
Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO)

Pattern Recognition Letters
Neural networks for classification: a survey

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
The fully informed particle swarm: simpler, maybe better

IEEE Transactions on Evolutionary Computation

Development of a hybrid methodology for dimensionality reduction in Mahalanobis-Taguchi system using Mahalanobis distance and binary particle swarm optimization

Expert Systems with Applications: An International Journal
Fast and efficient strategies for model selection of Gaussian support vector machine

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust Candidate Pruning Approach Based on the PSO-SVM for Fast Corner Detection with Noise Tolerance in Gray-Level Images

Fundamenta Informaticae - Swarm Intelligence
Novel artificial intelligent techniques via AFS theory: Feature selection, concept categorization and characteristic description

Applied Soft Computing
Fault diagnosis model based on Gaussian support vector classifier machine

Expert Systems with Applications: An International Journal
Car assembly line fault diagnosis based on modified support vector classifier machine

Expert Systems with Applications: An International Journal
A combination of DE and SVM with feature selection for road icing forecast

CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
A new asynchronous parallel global optimization method based on simulated annealing and differential evolution

Applied Soft Computing
Short term wind speed prediction based on evolutionary support vector regression algorithms

Expert Systems with Applications: An International Journal
Car assembly line fault diagnosis based on triangular fuzzy support vector classifier machine and particle swarm optimization

Expert Systems with Applications: An International Journal
Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm

Expert Systems with Applications: An International Journal
Ant colony optimization-based feature selection method for surface electromyography signals classification

Computers in Biology and Medicine
Using genetic algorithms to improve prediction of execution times of ML tasks

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Hybrid wavelet υ-support vector machine and chaotic particle swarm optimization for regression estimation

Expert Systems with Applications: An International Journal
Multi-objective particle swarm optimisation (PSO) for feature selection

Proceedings of the 14th annual conference on Genetic and evolutionary computation
Robust Candidate Pruning Approach Based on the PSO-SVM for Fast Corner Detection with Noise Tolerance in Gray-Level Images

Fundamenta Informaticae - Swarm Intelligence
Adaptive swarm optimization for locating and tracking multiple targets

Applied Soft Computing
A new support vector model-based imperialist competitive algorithm for time estimation in new product development projects

Robotics and Computer-Integrated Manufacturing
Novel initialisation and updating mechanisms in PSO for feature selection in classification

EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders

Computers in Biology and Medicine
A hybrid-forecasting model reducing Gaussian noise based on the Gaussian support vector regression machine and chaotic particle swarm optimization

Information Sciences: an International Journal
Single feature ranking and binary particle swarm optimisation based feature subset ranking for feature selection

ACSC '12 Proceedings of the Thirty-fifth Australasian Computer Science Conference - Volume 122
A self-trained semisupervised SVM approach to the remote sensing land cover classification

Computers & Geosciences
Facing the classification of binary problems with a hybrid system based on quantum-inspired binary gravitational search algorithm and K-NN method

Engineering Applications of Artificial Intelligence
Obtaining the threat model for e-mail phishing

Applied Soft Computing
A loan default discrimination model using cost-sensitive support vector machine improved by PSO

Information Technology and Management
Feature subset selection using improved binary gravitational search algorithm

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Quantified Score

Hi-index	0.02

Visualization

Abstract

This study proposed a novel PSO-SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the classification accuracy with a small and appropriate feature subset. This optimization mechanism combined the discrete PSO with the continuous-valued PSO to simultaneously optimize the input feature subset selection and the SVM kernel parameter setting. The hybrid PSO-SVM data mining system was implemented via a distributed architecture using the web service technology to reduce the computational time. In a heterogeneous computing environment, the PSO optimization was performed on the application server and the SVM model was trained on the client (agent) computer. The experimental results showed the proposed approach can correctly select the discriminating input features and also achieve high classification accuracy.