The accuracy-based classifier system XCS is currently the most successful learning classifier system. Several recent studies showed that XCS can produce machine-learning competitive results. Nonetheless, until now the evolutionary mechanisms in XCS remained somewhat ill-understood. This study investigates the selectorecombinative capabilities of the current XCS system. We reveal the accuracy dependence of XCS's evolutionary algorithm and identify a fundamental limitation of the accuracy-based fitness approach in certain problems. Implications and future research directions conclude the paper. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Tharakunnel, K. K., Butz, M. V., & Goldberg, D. E. (2003). Towards building block Propagation in XCS: A negative result and its implications. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2724, 1906–1917. https://doi.org/10.1007/3-540-45110-2_87
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