A brief history of learning classifier systems: From CS-1 to XCS and its variants

Bull, L. (2015) A brief history of learning classifier systems: From CS-1 to XCS and its variants. Evolutionary Intelligence, 8 (2-3). pp. 55-70. ISSN 1864-5909 Available from: http://eprints.uwe.ac.uk/25785

PDF - Accepted Version

Publisher's URL: http://dx.doi.org/10.1007/s12065-015-0125-y


The direction set by Wilson’s XCS is that modern Learning Classifier Systems can be characterized by their use of rule accuracy as the utility metric for the search algorithm(s) discovering useful rules. Such searching typically takes place within the restricted space of co-active rules for efficiency. This paper gives an overview of the evolution of Learning Classifier Systems up to XCS, and then of some of the subsequent developments of Wilson’s algorithm to different types of learning.

Item Type:Article
Additional Information:The final publication is available at Springer via http://dx.doi.org/10.1007/s12065-015-0125-y
Uncontrolled Keywords:evolution
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:25785
Deposited By: Professor L. Bull
Deposited On:17 Jun 2015 10:19
Last Modified:01 Sep 2016 07:06

Request a change to this item

Total Document Downloads in Past 12 Months

Document Downloads

Total Document Downloads

More statistics for this item...