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http://hdl.handle.net/20.500.12358/25136
Titleβ-hill climbing algorithm for Sudoku game
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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.

Authors
Al-Betar, Mohammed Azmi
Awadallah, Mohammed A
Bolaji, Asaju La'aro
Alijla, Basem O
TypeJournal Article
Date2017
Subjects
artificial intelligent
local search
ß-hill climbing
optimization
sudoku puzzle
Published inInformation and Communication Technology (PICICT), 2017 Palestinian International Conference on
PublisherIEEE
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  • Staff Publications- Faculty of Information Technology [187]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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