Basic knowledge in programming and math are helpful (Python, linear algebra, stochastics).
Learning organisation
This course gives an introduction to optimization. It introduces a (1+1)-ES, population-based evolution strategies, parameter control, self-adaptation, and leads to the famous CMA-ES. Besides introducing the foundations of natural evolution strategies, restart strategies, constraint handling, and multi-objective optimization is introduced.
