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International Conference on Parallel Problem Solving from Nature

PPSN 1990: Parallel Problem Solving from Nature pp 98–103Cite as

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

  • Genetic Algorithms
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Part of the book series: Lecture Notes in Computer Science ((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. Finkel Raphael A., Fishburn, John P. “Parallelism in Alpha-Beta Search” Artificial Intelligence, 19(1). September 1982, pp 89–106

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  2. Spencer, Donald D. (1975). Game playing with computers. Rochelle Park, New Jersey: Hayden Book Company.

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  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.

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  4. Suh, J. Y. and Van Gucht, Dirk (July 1987), “Distributed Genetic Algorithms”, Technical Report No. 225, Computer Science Dept., Indiana University, Bloomington, Indiana.

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  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, Indiana

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Author information

Authors and Affiliations

  1. Computer Science Department, Memorial Hall Rm. 219X, Indiana University, 47405, Bloomington, Indiana, USA

    Jung-Yul Suh & Chan-Do Lee

Authors
  1. Jung-Yul Suh
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  2. Chan-Do Lee
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Editor information

Hans-Paul Schwefel Reinhard Männer

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© 1991 Springer-Verlag Berlin Heidelberg

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Suh, JY., Lee, CD. (1991). Operator-oriented genetic algorithm and its application to sliding block puzzle problem. 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/BFb0029738

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  • DOI: https://doi.org/10.1007/BFb0029738

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54148-6

  • Online ISBN: 978-3-540-70652-6

  • eBook Packages: Springer Book Archive

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