Introduction to Artificial Intelligence: Genetic Algorithms for Sudoku - Lecture 12

Introduction to Artificial Intelligence: Genetic Algorithms for Sudoku - Lecture 12

Dave Churchill via YouTube Direct link

- Sudoku Fitness Modification

23 of 25

23 of 25

- Sudoku Fitness Modification

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Classroom Contents

Introduction to Artificial Intelligence: Genetic Algorithms for Sudoku - Lecture 12

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  1. 1 - Preroll
  2. 2 - Greetings
  3. 3 - A4 Intro
  4. 4 - Assignment Goals
  5. 5 - Sudoku Tutorial
  6. 6 - User Interface
  7. 7 - Fitness Functions
  8. 8 - Population Size
  9. 9 - Mutation Rate
  10. 10 - Random Gene Rate
  11. 11 - Elitism Rate
  12. 12 - Algorithm Overview
  13. 13 - Assignment Files
  14. 14 - Sudoku Class
  15. 15 - GASettings Class
  16. 16 - Sample Fitness Functions
  17. 17 - GA_Student Class Overview
  18. 18 - Population Individual Object Variables
  19. 19 - GAEvolve Function
  20. 20 - Roulette Wheel Selection
  21. 21 - Child Recombination / Crossover
  22. 22 - Mutate Individual
  23. 23 - Sudoku Fitness Modification
  24. 24 - Assignment Marking Scheme
  25. 25 - Generating Random Population

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