PSOSearch: An implementation of the Particle Swarm Optimization (PSO) algorithm to explore the space of attributes.

URL:http://neo.lcc.uma.es/
Author:Sebastian Luna Valero <sebastian.luna.valero{[at]}gmail.com>
Maintainer:Sebastian Luna Valero <sebastian.luna.valero{[at]}gmail.com>

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.

All available versions:
Latest
1.2.0
1.0.0