Introduction to Genetic Algorithms: Theory and Applications

Course content

  • Inspiration
  • Gene Representation and Fitness Function
  • Selection
  • Recombination (crossover)
  • Mutation
  • Elitism
  • Implementation of the Genetic Algorithm
  • Continuous version of the Genetic Algorithm
  • Applications of the Genetic Algorithm
  • Bonus Video