Lehrveranstaltung: 2.01.535 Evolution Strategies

The “Evolution Strategies” lecture explores key optimization techniques for solving complex problems. It introduces core concepts and covers algorithms like the (1+1)-ES and the (μ+λ)-ES, including mechanisms such as the 1/5 success rule, restarts, self-adaptation, and covariance matrix estimation. Emphasis is placed on understanding and programming these methods in Python through hands-on exercises. Experimental results and benchmark functions illustrate their effectiveness. The course is worth 6 ECTS.