Archives-holding XCS Classifier System: A preliminary study

  title={Archives-holding XCS Classifier System: A preliminary study},
  author={Takahiro Komine and Masaya Nakata and Keiki Takadama},
  journal={2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)},
In dynamic environment, Learning Classifier System (LCS) evolves classifiers to fit the current situation, but may forget classifiers which were useful for previous situations. Our main idea is that, we store the forgotten classifiers as archives and generate new classifiers by recombining them to fit the current situation. Specifically, we propose an archive-based LCS called Arc-XCS, which detects environmental changes and generates classifiers based on the archive. The experimental results on… CONTINUE READING