Binary rule encoding schemes: a study using the compact classifier system

@inproceedings{Llor2005BinaryRE,
  title={Binary rule encoding schemes: a study using the compact classifier system},
  author={Xavier Llor{\`a} and Kumara Sastry and David E. Goldberg},
  booktitle={GECCO Workshops},
  year={2005}
}
Several binary rule encoding schemes have been proposed for Pittsburgh-style classifier systems. This paper focus on the analysis of how rule encoding may bias the scalability of learning maximally general and accurate rules by classifier systems. The theoretical analysis of maximally general and accurate rules using two different binary rule encoding schemes showed some theoretical results with clear implications to the scalability of any genetic-based machine learning system that uses the… CONTINUE READING

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