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

Vapnik, 1995

Zhang, 2000, Neural networks for classification: a survey, IEEE Trans. Syst. Man Cybern.-Part C: Appl. Rev., 30, 451, 10.1109/5326.897072

Huang, 2006, A GA-based attribute selection and parameter optimization for support vector machine, Expert Syst. Appl., 31, 231, 10.1016/j.eswa.2005.09.024

Fröhlich, 2003, Feature selection for support vector machines by means of genetic algorithms, 142

Hsu, 2002, A simple decomposition method for support vector machine, Mach. Learn., 46, 219

Kennedy, 1995, Particle swarm optimization, 1942

Kennedy, 2001

van den Bergh, 2006, A study of particle swarm optimization particle trajectories, Inf. Sci., 176, 937, 10.1016/j.ins.2005.02.003

Jiang, 2005, A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimization, Math. Comput. Simul., 68, 57, 10.1016/j.matcom.2004.10.003

Du, 2005, Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization, Pattern Recogn. Lett., 26, 597, 10.1016/j.patrec.2004.11.002

Yin, 2006, A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems, Comput. Stand. Interfaces, 28, 441, 10.1016/j.csi.2005.03.005

Da, 2005, An improved PSO-based ANN with simulated annealing technique, Neurocomputing, 63, 527, 10.1016/j.neucom.2004.07.002

Chatterjee, 2006, Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization, Comput. Operations Res., 33, 859, 10.1016/j.cor.2004.08.012

Shi, 2005, An improved GA and a novel PSO-GA-based hybrid algorithm, Inf. Process. Lett., 93, 255, 10.1016/j.ipl.2004.11.003

Allahverdi, 2006, A PSO and a tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application, Comput. Operations Res., 33, 1056, 10.1016/j.cor.2004.09.002

Lian, 2006, A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan, Appl. Math. Comput., 175, 773, 10.1016/j.amc.2005.07.042

Mendes, 2004, The informed particle swarm: simpler, maybe better, IEEE Trans. Evol. Comput., 8, 204, 10.1109/TEVC.2004.826074

Li, 2001, Interoperable web-based data mining system by java distributed object computing

Kecman, 2001

Schőlkopf, 2000

Cristianini, 2000

Bottou, 1994, Comparison of classifier methods: a case study in handwriting digit recognition, 77

Knerr, 1990, Single-layer learning revisited: a stepwise procedure for building and training a neural network

KreBel, 1999

Shi, 1998, A modified particle swarm optimizer, 69

Eberhart, 2001, Particle swarm optimization: developments, application and resources, 81

Kennedy, 1997, A discrete binary version of the particle swarm algorithm, 4104

Agrafiotis, 2002, Feature selection for structure–activity correlation using binary particle swarms, J. Med. Chem., 45, 1098, 10.1021/jm0104668

C.W. Hsu, C.C. Chang, C.J. Lin, A practical guide to support vector classification, available at: http://www.csie.ntu.edu.tw/∼cjlin/papers/guide/guide.pdf, 2003.

H.T. Lin, C.J. Lin, A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods, Technical Report, Department of Computer Science and Information Engineering, National Taiwan University, available at: http://www.csie.ntu.edu.tw/∼cjlin/papers/tanh.pdf, 2003.

Punch, 1993, Further research on feature selection and classification using genetic algorithms, 557

Salzberg, 1997, On comparing classifiers: pitfalls to avoid and a recommended approach, Data Min. Knowl. Discov., 1, 317, 10.1023/A:1009752403260

C.-C. Chang, C.-J. Lin, LIBSVM: a library for support vector machines, Software available at: http://www.csie.ntu.edu.tw/∼cjlin/libsvm, 2001.

Gorodetsky, 2003, Software tool for agent-based distributed data mining, 710

P.M. Murphy, D.W. Aha, UCI Repository of machine learning databases, Department of Information and Computer Science, University of California, Irvine, CA, http://www.ics.uci.edu/∼mlearn/MLRepository.html, 2001.

Ong, 2005, Building credit scoring models using genetic programming, Expert Syst. Appl., 29, 41, 10.1016/j.eswa.2005.01.003