PSOSearch: An implementation of the Particle Swarm Optimization (PSO) algorithm to explore the space of attributes.
This is a package for WEKA: http://www.cs.waikato.ac.nz/ml/weka/
You can find more information on how to use WEKA packages here: http://weka.sourceforge.net/packageMetaData/
PSOSearch explores the attribute space using the Particle Swarm Optimization (PSO) algorithm described in:
Moraglio, A., Di Chio, C., and Poli, R.
Geometric Particle Swarm Optimisation.
EuroGP 2007, LNCS 445, pp. 125-135.
For an application to gene expression data classification, see:
Garcia-Nieto, J.M., Alba, E., Jourdan, L., and Talbi, E.-G.
Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis.
Information Processing Letters, 109(16):887-896, July 2009.