POGA - Parameter's Optimization by GeneticAlgorithm - Developed by Leonardo Santos (LAC-INPE :: santoslbl@gmail.com) and José Miranda (IF-UFBA :: vivas@ufba.br). 114 Downloads of the first version. Second version avaliable.
gaKnn(GeneticAlgorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a geneticalgorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A geneticalgorithm and Markov simulations are currently implemented.
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