AbstractsComputer Science

Heuristic-based Genetic Operation in Classifier Systems

by Nugroho Fredivianus




Institution: Universität Karlsruhe
Department:
Year: 2015
Keywords: machine learning, learning classifier system, algorithms, generalization, induction
Record ID: 1099252
Full text PDF: http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3494230


Abstract

This thesis focuses on improving the Accuracy-based Learning Classifier System (XCS), a Machine Learning technique that attempts to build general and accurate rules. Adapted from the induction concept, a new approach named Rule Combining (RC) draws conclusions from the experience. It learns more efficient in terms of speed and space requirement compared to the original XCS that employs Darwinian genetic operation. Furthermore, RC allows an additional capability of performing feature selection.