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Operator-oriented genetic algorithm and its application to sliding block puzzle problem

  • Jung-Yul Suh
  • Chan-Do Lee
Genetic Algorithms Applications Of Genetic Algorithms
Part of the Lecture Notes in Computer Science book series (LNCS, volume 496)

Abstract

Operator-Oriented Genetic Algorithm provides a way to tackle symbolic problem solving by GA. The application to Sliding Block Puzzle is discussed as an example.

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References

  1. [1]
    Finkel Raphael A., Fishburn, John P. “Parallelism in Alpha-Beta Search” Artificial Intelligence, 19(1). September 1982, pp 89–106CrossRefGoogle Scholar
  2. [2]
    Spencer, Donald D. (1975). Game playing with computers. Rochelle Park, New Jersey: Hayden Book Company.Google Scholar
  3. [3]
    Suh, J. Y. and Van Gucht, Dirk (July 1987), “Incorporating Heuristic Information into Genetic Search”, Proc. of a Second Int'l Conference on Genetic Algorithms and Their Applications, pp. 100–107.Google Scholar
  4. [4]
    Suh, J. Y. and Van Gucht, Dirk (July 1987), “Distributed Genetic Algorithms”, Technical Report No. 225, Computer Science Dept., Indiana University, Bloomington, Indiana.Google Scholar
  5. [5]
    Suh, Jung-Yul and Lee, Chan-Do, “Extending Distributed Genetic Algorithms to Problem Solving: The Case of the Sliding Block Puzzle”, Technical Report No. 285, Computer Science Dept., Indiana University, Bloomington, IndianaGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Jung-Yul Suh
    • 1
  • Chan-Do Lee
    • 1
  1. 1.Computer Science Department, Memorial Hall Rm. 219XIndiana UniversityBloomingtonUSA

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