Improving the discovery component of classifier systems by the application of estimation of distribution algorithms

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“Improving the discovery component of classifier systems by the application of estimation of distribution algorithms” by J. P. Rivera and R. Santana. In Proceedings of the students sessions, ACAI'99, (Chania, Greece), 1999, pp. 43-44.

Abstract

This paper reports preliminary results of a Classifier Systems that uses an EDA as its discovery component. We have introduced a new method to estimate the prediction of descendant, and explained measures that help to a deeply understanding of the XCS performance. Further work includes the analysis of other classifier systems for more complex environments that would need discovery components able to exploit in a greater measure particular characteristics of the environment.

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BibTeX entry:

@inproceedings{Rivera_and_Santana:1999,
   author = {J. P. Rivera, and R. Santana},
   title = {Improving the discovery component of classifier systems by the
	application of estimation of distribution algorithms},
   booktitle = {Proceedings of the students sessions, ACAI'99},
   pages = {43-44},
   address = {Chania, Greece},
   year = {1999}
}

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