Improving the Scalability of XCS-Based Learning Classifier Systems

Keywords

Artificial intelligence, Computer science, Scalability, Reuse, Machine learning

References

• Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systemsMuhammad Iqbal, Will N. Browne, Mengjie Zhang — 2013
• Comparison of two methods for computing action values in XCS with code-fragment actionsMuhammad Iqbal, Will N. Browne, Mengjie Zhang — 2013
• IEEE Transactions on Evolutionary Computation2009
• Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean ProblemsMuhammad Iqbal, Will N. Browne, Mengjie Zhang — 2013

Cited by

• Network theoretic analyses and enhancements of evolutionary algorithmsKarthik Kuber — 2014
• A sensor tagging approach for reusing building blocks of knowledge in learning classifier systemsLiangyu Chen, Po-Ming Lee, Tzu‐Chien Hsiao — 2015
• Enable the XCS to Dynamically Learn Multiple Problems: A Sensor Tagging ApproachYao‐Ming Wu, Liangyu Chen, Po-Ming Lee — 2015
• Rule networks in learning classifier systemsKarthik Kuber, Stuart W. Card, Kishan G. Mehrotra — 2014
• Multifactorial Genetic Programming for Symbolic Regression ProblemsJinghui Zhong, Liang Feng, Wentong Cai — 2020
• The Bayesian learning classifier system: implementation, replicability, comparison with XCSFDavid Pätzel, Jörg Hähner — 2022
• Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image ClassificationAbubakar Siddique, Muhammad Iqbal, Shahab Ud Din — 2023

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