A recently developed multimodal evolutionary algorithm is used as engine for a learning classifier system.
The evolutionary classifier is applied for two largely used data
sets and the obtained results are compared with others of
different algorithms. A noticeable gain over other computational
techniques is that, besides the outcome for objects in the test
set, the algorithm may also provide simple rules that led to that
classification decision.