DocumentCode
3073613
Title
Deterministic and metaheuristic approaches to solving Kakuro puzzles
Author
Panov, Stojanche ; Koceski, Saso
Author_Institution
Fac. of Comput. Sci., `Goce Delchev´ Univ., Stip, Macedonia
fYear
2013
fDate
15-20 June 2013
Firstpage
227
Lastpage
230
Abstract
This research study introduces two new approaches to solving Kakuro puzzles. One of them is metaheuristic and is based on Harmony Search methodology, and the other one is a novel deterministic method named Reducing Domain Values. Both of them have been examined and tested with different puzzles having various grid sizes. They were also compared with two known techniques Forward Checking and Iterative Sampling. As results have shown, the newly introduced approaches gave better performances in terms of time and provided great foundation for developing game theory algorithms.
Keywords
deterministic algorithms; game theory; iterative methods; sampling methods; search problems; Kakuro puzzles; deterministic approach; forward checking techniques; game theory algorithms; harmony search methodology; iterative sampling techniques; metaheuristic approach; reducing domain values; Nickel; Random access memory; Deterministic algorithms; Game theory; Grid-based games; Heuristic algorithms; Puzzle;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Computing (MECO), 2013 2nd Mediterranean Conference on
Conference_Location
Budva
ISSN
1800-993X
Type
conf
DOI
10.1109/MECO.2013.6601364
Filename
6601364
Link To Document