DocumentCode
2279033
Title
Notice of Retraction
Rating and Generating Sudoku Puzzles
Author
Shanchen Pang ; Eryan Li ; Tao Song ; Peng Zhang
Author_Institution
Shandong Univ. of Sci. & Technol., Qingdao, China
Volume
3
fYear
2010
fDate
6-7 March 2010
Firstpage
457
Lastpage
460
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The Sudoku puzzle has achieved worldwide popularity recently, and attracted great attention of the computational intelligence community. How to evaluate the difficulty of the puzzle is a difficult thing. In this paper, the nondeterministic degree is regarded as the main factor that affects Sudoku puzzle and we get the difficulty through summing the entropy of each step. We give the difficulty level model by mapping the difficulty to integers. An algorithm is developed to generate Sudoku puzzles when given a difficulty level.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The Sudoku puzzle has achieved worldwide popularity recently, and attracted great attention of the computational intelligence community. How to evaluate the difficulty of the puzzle is a difficult thing. In this paper, the nondeterministic degree is regarded as the main factor that affects Sudoku puzzle and we get the difficulty through summing the entropy of each step. We give the difficulty level model by mapping the difficulty to integers. An algorithm is developed to generate Sudoku puzzles when given a difficulty level.
Keywords
artificial intelligence; computational complexity; Sudoku puzzles; computational intelligence community; difficulty level model; entropy; nondeterministic degree; Computational intelligence; Computer science; Computer science education; Educational technology; Entropy; Finishing; Genetic algorithms; Genetic communication; Information theory; Knowledge representation; Algorithm; Difficulty Level; Sudoku;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Type
conf
DOI
10.1109/ETCS.2010.77
Filename
5458664
Link To Document