lecture15: Randomized algorithms: genetic algorithms

In this lecture we continue the study of randomized algorithms, in particular genetic algorithms are presented.

Topics covered

• Randomized algorithms
• Genetic algorithms
• Advantages GAs
• Used in many areas, even in art
• Terminology
• Biological evolution
• Algorithm
• Comments
• Chromosome Encoding
• Gray Code
• Crossover
• Crossover (continued)
• Crossover for permutation encoding
• Mutation
• Mutation for permutation encoding
• Selection algorithms
• Roulette Wheel Selection
• Rank Selection
• Elitism
• TSP example
• Parameters of GAs
• Parameters: crossover probability
• Parameters: mutation probability
• Parameters: population size
• Note
• Pretty example movies
• Other randomized algorithms