Organization “Evolutionary Programming”
Organization “Evolutionary Programming”
- Introduction to Genetic Algorithms (class 1 & 2)
- Theory of Genetic Algorithms (class 3 (Michalewicz); class 4 (Mitchell))
- Fitness Function Scaling & Sampling in GAs (class 5)
- Numerical Optimization with GAs (class 6+7)
- Introduction to Course Project 1 (class 8)
- “Evolutionsstrategie” --- Schwefel, Rechenberg and Baeck’s Work (class 9)
- Diploidy and other Genetic Operators (class 10)
- Diversity in GAs (class 11)
- TEST1 (class 12)
- Genetic Programming (class 12+13)
- Parallelizing GAs(class 14)
- TSP & Project 2 (class 15+16)
- Visualizing Genetic Algorithms (class 17)
- Classifier Systems and Machine Learning with GAs (class 18)
- General Aspects of Machine Learning & DELVAUX (class 19+20)
- Introduction to Artificial Life(video) & Cellular Automata (class 21+22)
- Hillis Sorting Networks, Coevolution & Cult Alg. (class 23+24)
- Computer Viruses and other Forms of Computer Artificial Life (class 25)
- Discussion of the two course projects (class 26)