Heuristic-based Genetic Operation in Classifier Systems

@inproceedings{Fredivianus2015HeuristicbasedGO,
  title={Heuristic-based Genetic Operation in Classifier Systems},
  author={Nugroho Fredivianus},
  year={2015}
}
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. 
1 Citations
Classifier systems with native fuzzy logic control operation
  • 2

References

SHOWING 1-10 OF 37 REFERENCES
Classifier Fitness Based on Accuracy
  • S. Wilson
  • Mathematics, Computer Science
  • Evolutionary Computation
  • 1995
  • 1,441
  • Highly Influential
  • PDF
XCS Revisited: A Novel Discovery Component for the eXtended Classifier System
  • 9
Cognitive systems based on adaptive algorithms
  • 709
Deletion schemes for classifier systems
  • 73
Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy
  • 113
  • PDF
Classifier Systems and Genetic Algorithms
  • 935
  • Highly Influential
  • PDF
Learning Classifier Systems: A Brief Introduction
  • 50
  • PDF
An Analysis of Generalization in the XCS Classifier System
  • P. Lanzi
  • Mathematics, Computer Science
  • Evolutionary Computation
  • 1999
  • 332
  • Highly Influential
Stay real!: XCS with rule combining for real values
  • 5
  • PDF
...
1
2
3
4
...