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Studley, M.; Bull, L. (2007)
Publisher: Massachusetts Institute of Technology Press
Languages: English
Types: Article

Classified by OpenAIRE into

  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • 9. Holland, J. H. (1975). Adaptation in natural and artificial systems. Ann Arbor: University of Michigan Press.
    • 10. Holland, J. H. (1976). Adaptation. In R. Rosen & F. M. Snell (Eds.), Progress in theoretical biology (pp. 263 - 293). San Diego, CA: Academic Press.
    • 11. Holland, J. H., & Reitman, J. S. (1978). Cognitive systems based on adaptive algorithms. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern-directed inference systems (pp. 313 - 319). San Diego, CA: Academic Press.
    • 12. Lanzi, P. L. (2000). An analysis of generalization in the XCS classifier system. Evolutionary Computation, 7(2), 125 - 149.
    • 13. Llora, X., & Goldberg, D. E. (2003). Bounding the effect of noise in multiobjective learning classifier systems. Evolutionary Computation, 11(3), 278 - 297.
    • 14. Smith, S. F. (1980). A learning system based on genetic adaptive algorithms. Ph.D. thesis. University of Pittsburgh, Pittsburgh, Pennsylvania.
    • 15. Sutton, R. A., & Barto, A. G. (1998). Reinforcement learning: An introduction. Cambridge, MA: MIT Press.
    • 16. Watkins, C. J. C. H. (1989). Learning from delayed rewards. Ph.D. thesis. University of Cambridge, Cambridge, UK.
    • 17. Wilson, S. W. (1994). ZCS: A zeroth level classifier system. Evolutionary Computation, 2(1), 1 - 18.
    • 18. Wilson, S. W. (1995). Classifier fitness based on accuracy. Evolutionary Computation, 3(2), 149 - 175.
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