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. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Engel, J., Holzer, M., Ruepp, O., & Sehnke, F. (2012). On computer integrated rationalized crossword puzzle manufacturing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7288 LNCS, pp. 131–141). https://doi.org/10.1007/978-3-642-30347-0_15
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