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β-Hill Climbing Algorithm for Sudoku Game

  • Al-Balqa Applied University
  • Al-Aqsa University
  • Federal University Wukari
  • Islamic University of Gaza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

In this paper, β-Hill Climbing algorithm, the recent local search-based meta-heuristic, are tailored for Sudoku puzzle. β-Hill Climbing algorithm is a new extended version of hill climbing algorithm which has the capability to escape the local optima using a stochastic operator called β-operator. The Sudoku puzzle is a popular game formulated as an optimization problem to come up with exact solution. Some Sudoku puzzle examples have been applied for evaluation process. The parameters of the β-Hill Climbing is also studied to show the best configuration used for this game. β-Hill Climbing in its best parameter configuration is able to find solution for Sudoku puzzle in 19 iterations and 2 seconds.

Original languageEnglish
Title of host publicationProceedings - 2017 Palestinian International Conference on Information and Communication Technology, PICICT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages84-88
Number of pages5
ISBN (Electronic)9781509065387
DOIs
StatePublished - 14 Sep 2017
Externally publishedYes
Event2nd Palestinian International Conference on Information and Communication Technology, PICICT 2017 - Gaza, Gaza Strip, Palestine, State of
Duration: 8 May 20179 May 2017

Publication series

NameProceedings - 2017 Palestinian International Conference on Information and Communication Technology, PICICT 2017

Conference

Conference2nd Palestinian International Conference on Information and Communication Technology, PICICT 2017
Country/TerritoryPalestine, State of
CityGaza, Gaza Strip
Period8/05/179/05/17

Keywords

  • Artificial Intelligent
  • Local search
  • Optimization
  • Sudoku puzzle
  • β-Hill Climbing

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