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On Computer Integrated Rationalized Crossword Puzzle Manufacturing

  • Jakob Engel
  • Markus Holzer
  • Oliver Ruepp
  • Frank Sehnke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7288)

Abstract

The crossword puzzle is a classic pastime that is well-known all over the world. We consider the crossword manufacturing process in more detail, investigating a two-step approach, first generating a mask, which is an empty crossword puzzle skeleton, and then filling the mask with words from a given dictionary to obtain a valid crossword. We show that the whole manufacturing process is NP-complete, and in particular also the second step of the two-step manufacturing, thus reproving in part a result of Lewis and Papadimitriou mentioned in Garey and Johnson’s monograph [M. R. Garey and D. S. Johnson. Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman and Company, 1979.] but now under real world crossword puzzle conditions. Moreover, we show how to generate high-quality masks via a memetic algorithm, which is used and tested in an industrial manufacturing environment, leading to very good results.

Keywords

Genetic Algorithm Crossover Operator Memetic Algorithm Binary Counter Crossword Puzzle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jakob Engel
    • 1
  • Markus Holzer
    • 2
  • Oliver Ruepp
    • 1
  • Frank Sehnke
    • 1
  1. 1.Institut für InformatikTechnische Universität MünchenGarching bei MünchenGermany
  2. 2.Institut für InformatikUniversität GiessenGiessenGermany

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