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

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PSOSearch

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 Geometric Particle Swarm Optimization (GPSO) algorithm described in:
Moraglio, A., Di Chio, C., and Poli, R.
Geometric Particle Swarm Optimisation.
EuroGP 2007, LNCS 445, pp. 125-135.
https://doi.org/10.1007/978-3-540-71605-1_12

For an application to gene expression data classification, see:
Enrique Alba, José García-Nieto, Laetitia Jourdan, El-Ghazali Talbi:
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms.
IEEE Congress on Evolutionary Computation 2007: 284-290
https://doi.org/10.1109/CEC.2007.4424483

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