Learning classifier system: Difference between revisions

Revision as of 14:32, 9 October 2017

Revision as of 05:37, 9 July 2018

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=== Pittsburgh-Style Learning Classifier System ===

Pittsburgh-Style LCSs are characterized by a population of variable length rule-sets where each rule-set is a potential solution. The genetic algorithm typically operates at the level of an entire rule-set. Pittsburgh-style systems also can also uniquely evolvedevolve ordered rule lists, as well as employ a default rule. These systems have the natural advantage of identifying smaller rule sets, making these systems more interpretable with regards to manual rule inspection.

=== Hybrid systems ===