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Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule

, , and . (2004)http://www.psychologie.uni-wuerzburg.de/IWLCS/.

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Probabilistic model building and competent genetic programming, , , and . Genetic Programming Theory and Practise, chapter 13, page 205--220. Kluwer, (2003)Quality and efficiency of model building for genetic algorithms, , , and . Proceedings of Genetic and Evolutionary Computation Conference 2004 (GECCO-2004, (2004)A Survey of Optimization by Building and Using Probabilistic Models, , , , , and . Computational Optimization and Applications, (1999)The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results., , , and . GECCO, page 1323-1330. ACM, (2009)A Comparative Analysis of Selection Schemes Used in Genetic Algorithms., and . FOGA, page 69-93. Morgan Kaufmann, (1990)Accounting for Noise in the Sizing of Populations., , and . FOGA, page 127-140. Morgan Kaufmann, (1992)XCS with computed prediction in multistep environments., , , and . GECCO, page 1859-1866. ACM, (2005)Elitist Recombination: An Integrated Selection Recombination GA., and . International Conference on Evolutionary Computation, page 508-512. IEEE, (1994)Enhancing the Efficiency of the ECGA., , and . PPSN, volume 5199 of Lecture Notes in Computer Science, page 165-174. Springer, (2008)Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming., and . EuroGP, volume 1391 of Lecture Notes in Computer Science, page 16-36. Springer, (1998)