DocumentCode :
3658079
Title :
A crossword puzzle generator using genetic algorithms with Wisdom of Artificial Crowds
Author :
Douglas Bonomo;Adrian P. Lauf;Roman Yampolskiy
Author_Institution :
University of Louisville, KY, USA
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
44
Lastpage :
49
Abstract :
NP-hard problems, such as generating crossword puzzles, are candidates for solution by genetic algorithms (GAs). A combination of both a genetic algorithms and a Wisdom of Artificial Crowds (WoAC) aggregation method was developed for the purpose of creating crossword puzzles given a particular outline. The program was written using a GPL Hunspell wrapper NHunspell for word verification and suggestion. In American-style crossword puzzles, we saw performance improvements of around 20% in reaching a local optima, with a 6% improvement in the number of successful words found by a GA + WoAC algorithm over the baseline genetic algorithm.
Keywords :
"Genetic algorithms","Sociology","Statistics","Arrays","Skeleton","Dictionaries","Computers"
Publisher :
ieee
Conference_Titel :
Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES), 2015
Type :
conf
DOI :
10.1109/CGames.2015.7272960
Filename :
7272960
Link To Document :
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