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Gleam a system for simulated "intuitive learning"

  • Genetic Algorithms
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Parallel Problem Solving from Nature (PPSN 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 496))

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6. References

  1. L.B. Booker, D.E. Goldberg, J.H. Holland: Classifier Systems and Genetic Algorithms in Artificial Intelligence 40 (1989), 235–282

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  3. J.J. Grefenstette: Optimization of Control Parameters for Genetic Algorithms in IEEE Transactions on Systems, Man, and Cybernetics Vol. SMC-16, No. 1, January/February 1986, 122–128

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  4. Y.-L. Gu, N.K. Lok: Learning Control in Robotic Systems in Journal of Intelligent and Robotic Systems 2 (1989), 297–305

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  5. D. Partridge, K. Paap: An introduction to learning in Artificial Intelligence Review (1988), 2, 79–101

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  6. I. Rechenberg: Evolutionsstrategie (Evolution strategy) (Optimization of technical systems based on biological evolution principle) Stuttgart-Bad Canstatt, 1973

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Authors and Affiliations

  1. Kernforschungszentrum Karlsruhe, Institut für Reaktorentwicklung, P.B. 3640, D-7500, Karlsruhe 1, Germany

    Christian Blume

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  1. Christian Blume
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Hans-Paul Schwefel Reinhard Männer

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© 1991 Springer-Verlag Berlin Heidelberg

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Blume, C. (1991). Gleam a system for simulated "intuitive learning". In: Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature. PPSN 1990. Lecture Notes in Computer Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029730

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  • DOI: https://doi.org/10.1007/BFb0029730

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54148-6

  • Online ISBN: 978-3-540-70652-6

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