Description.props

# Template Description file for a Weka package
# 

# Package name (required)
PackageName=PSOSearch

# Version (required)
Version=1.2.0

#Date (year-month-day)
Date=2011-12-03

# Title (required)
Title=An implementation of the Particle Swarm Optimization (PSO) algorithm to explore the space of attributes.

# Category (recommended)
Category=Attribute selection

# Author (required)
Author=Sebastian Luna Valero <sebastian.luna.valero@gmail.com>

# Maintainer (required)
Maintainer=Sebastian Luna Valero <sebastian.luna.valero@gmail.com>

# License (required)
License=GPL 3.0

# Description (required)
Description=PSOSearch explores the attribute space using the Particle Swarm Optimization (PSO) algorithm described in:<br/><br/> Moraglio, A., Di Chio, C., and Poli, R. <br/> Geometric Particle Swarm Optimisation. <br/> EuroGP 2007, LNCS 445, pp. 125-135. <br/><br/> For an application to gene expression data classification, see:<br/><br/> Garcia-Nieto, J.M., Alba, E., Jourdan, L., and Talbi, E.-G.<br/>  Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis. <br/> Information Processing Letters, 109(16):887-896, July 2009.

# Package URL for obtaining the package archive (required)
PackageURL=https://github.com/sebastian-luna-valero/PSOSearch/releases/download/1.2.0/PSOSearch.zip

# URL for further information
URL=http://neo.lcc.uma.es/

# Enhances various other packages ?
# Enhances=

# Related to other packages?
Related=attributeSelectionSearchMethods

# Dependencies (format: packageName (equality/inequality version_number)
Depends=weka (>=3.7.4)