Genetic Algorithms with Local Optima Handling to Solve Sudoku Puzzles

@inproceedings{Gerges2018GeneticAW,
  title={Genetic Algorithms with Local Optima Handling to Solve Sudoku Puzzles},
  author={Firas Gerges and Germain Zouein and Danielle Azar},
  booktitle={International Conference on Computing and Artificial Intelligence},
  year={2018}
}
Sudoku is a popular combinatorial number puzzle game and is widely spread on online blogs and in newspapers worldwide. However, the game is very complex in nature and solving it gives rise to an NP-Complete problem. In this paper, we introduce a heuristic to tackle the problem. The heuristic is a genetic algorithm with modified crossover and mutation operators. In addition, we present a new approach to prevent the genetic algorithm from getting stuck in local optima. We refer to this approach… 

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