Learning classifier systems: a survey

Author:

Sigaud Olivier,Wilson Stewart W.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference91 articles.

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2. Bacardit J, Garrell JM (2003) Evolving multiple discretizations with adaptive intervals for a Pittsburgh rule-based learning classifier system. In: Cantú-Paz E, Foster JA, Deb K, Davis D, Roy R, O’Reilly U-M, Beyer H-G, Standish R, Kendall G, Wilson S, Harman M, Wegener J, Dasgupta D, Potter MA, Schultz AC, Dowsland K, Jonoska N, Miller J (eds). Genetic and evolutionary computation—GECCO-2003. Springer, Berlin, pp. 1818–1831

3. Banzhaf W, Daida J, Eiben AE, Garzon MH, Honavar V, Jakiela M, Smith RE (eds) (1999) Proceedings of the 1999 genetic and evolutionary computation conference workshop program. Morgan Kaufmann, San Francisco

4. Bellman RE (1957) Dynamic programming. Princeton University Press, Princeton

5. Bellman RE (1961) Adaptive control processes: a guided tour. Princeton University Press, Princeton

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