Students know intricacies of genetic algorithms and the particular strength of GA's. They know how to optimize parameters like mutation rate, rate of recombination and selection. They know how to program and test GA's.
Lecture 1 SWS, Practical Course 3 SWS
Examination prerequisite: Control of programming exercise
Examination: Written exam
- Melanie Mitchell: An introduction to genetic algorithms
- David Goldberg: Genetic algorithms
- David Poli, Langdon, McPhee:: A field guide to genetic programming