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