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CIFO Project - Solving Sudoku puzzles with a Genetic Algorithm

Grade: 17.5 out of 20

In this project, we attempted to create a Genetic Algorithm (GA) with an initial population, fitness function, selection methods and genetic operators, that could evolve over several generations in order to solve a Sudoku puzzle.

Members of the ‘Sudoku GAmers’ group:
Ana Rita Domingos (R20170777)
Helena Chhotobhai (R20170779)
Rodrigo Mourão Nunes (R20170872)
Rui Monteiro (R20170796)

MSc: Data Science and Advanced Analytics - Nova IMS
Course: Computational Intelligence for Optimization
2020/2021

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Solving Sudoku puzzles with a Genetic Algorithm

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