skip to main content
article
Free access

Review of "Genetic Algorithms for Machine Learning by John J. Greffenstette", Kluwer Academic Publishers, 1993.

Published: 01 September 1998 Publication History

Abstract

This book is a reprint from a special issue of the journal Machine Learning on Genetic Algorithms (GAs). The fact that it was the third special issue of the journal on GAs shows the continuous increase of interest of people in the field. The five selected articles were presented at the Fourth International Conference on Genetic Algorithms, in June 1991 (San Diego), and at a Special Workshop for Machine Learning at the same conference. The intended book audience is both researchers and practitioners in the field.

References

[1]
Bertsekas, D. P. and Tsitsiklis, J. N. Neuro-Dynamic Programming. Athena Scientific, 1996.
[2]
Dracopoulos, D. C. and Jones., A. J. "Neuro-genetic adaptive attitude control." In Neural Computing & Applications, 2(4):183--204, 1994.
[3]
Goldberg, D. E. Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, 1989.
[4]
Kaufman, K. A, Michalski, R. S. and Schutz, A. C. "Emerald 1: An integrated system of machine learning and discovery programs for education and research." Technical Report MLI-89-12, George Mason University, 1989.
[5]
Koza, J. R. Genetic Programming. MIT Press, 1982.
[6]
Koza, J. R. Genetic Programming II. MIT Press, 1994.
[7]
Michalewicz, Z. Genetic Algorithms + Data Structures = Evolution Programs. Springer Verlag, 1996.
[8]
Mitchell, M. An Introduction to Genetic Algorithms. MIT Press, 1996.
[9]
Sutton, R. S. "Learning to predict by the methods of temporal differences." Machine Learning, (3), 1988.
[10]
Tanese, R. "Distributed genetic algorithms." In Schaffer, J. D. (Ed.), Proceedings of the Third International Conference on Genetic Algorithms. Morgan Kaufmann, 1989.
[11]
Werbos, P. J. "Neurocontrol and supervised learning." In White, D. A. and Sofge, D. A. (Eds.), Handbook of Intelligent Control, chapter 3. Van Nostrand Reinhold, 1992.
[12]
Werbos, P. J. Learning in the brain: An engineering interpretation. In Pribram, K. (Ed.), Learning as Self-Organization. Erlbaum, 1996.
[13]
Wnek, J., Sarma, J., Wahab, A., and Michalski R. S. "Comparing learning paradigms via diagrammatic visualization." In Emrich, M., Ras, Z., and Zemankowa, (Eds.), Methodologies for Intelligent Systems 5. North-Holland, 1990.
  1. Review of "Genetic Algorithms for Machine Learning by John J. Greffenstette", Kluwer Academic Publishers, 1993.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM SIGART Bulletin
    ACM SIGART Bulletin  Volume 9, Issue 2
    Fall 1998
    30 pages
    ISSN:0163-5719
    DOI:10.1145/1056754
    Issue’s Table of Contents

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 September 1998
    Published in SIGAI Volume 9, Issue 2

    Check for updates

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 320
      Total Downloads
    • Downloads (Last 12 months)45
    • Downloads (Last 6 weeks)7
    Reflects downloads up to 15 Feb 2025

    Other Metrics

    Citations

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Login options

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media