Advertisement

Machine Learning

, Volume 3, Issue 2–3, pp 95–99 | Cite as

Genetic algorithms and Machine Learning

Guest Editorial

References

  1. Bateson G. (1972). Steps to an ecology of mind. New York: Ballantine.Google Scholar
  2. Davis L., & Coombs S. (1987). Genetic algorithms and communication link speed design: Theoretical considerations. Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms (pp. 252–256). Cambridge, MA: Lawrence Erlbaum.Google Scholar
  3. Edelman G. M. (1987). Neural Darwinism: The theory of neuronal group selection. New York: Basic Books.Google Scholar
  4. Fourman M. P. (1985). Compaction of symbolic layout using genetic algorithms. Proceedings of the First International Conference on Genetic Algorithms and Their Applications (pp. 141–152). Pittsburgh, PA: Lawrence Erlbaum.Google Scholar
  5. Goldberg D. E. (1989). Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley.Google Scholar
  6. Grefenstette J. J. (Ed.). (1985). Proceedings of the Firest International Conference on Genetic Algorithms and Their Applications. Pittsburgh, PA: Lawrence Erlbaum.Google Scholar
  7. Grefenstette J. J. (Ed.). (1987). Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms. Cambridge, MA: Lawrence Erlbaum.Google Scholar
  8. Holland J. H. (1962). Outline for a logical theory of adaptive systems. Journal of the Association for Computing Machinery, 3, 297–314.Google Scholar
  9. Holland J. H. (1975). Adaptation in natural and artificial systems. Ann Arbor, MI: University of Michigan Press.Google Scholar
  10. Holland J. H., Holyoak K. J., Nisbett R. E., & Thagard P. R. (1986). Induction: Processes of inference, learning, and discovery. Cambridge, MA: MIT Press.Google Scholar
  11. Minsky M. (1986). The society of mind. New York: Simon and Schuster.Google Scholar
  12. Waddington C. H. (1967). Summary discussion. In P. S.Moorhead & M. MKaplan (Eds.), Mathematical challenges to the neo-Darwinian interpretation of evolution. Philadelphia, PA: Wistar Institute Press.Google Scholar

Copyright information

© Kluwer Academic Publishers 1988

Personalised recommendations