other contexts. Evolution strategies are stochastic algorithms for black-box optimization with roots that date back 60 years. The approach to their development has been markedly diferent from that commonly taken in mathematical optimization, and it also sets them apart from other optimization heuristics. This talk explores milestones in the development of evolution strategies with an eye on what has been learned, and what lessons may be useful in ∗Corresponding author.
Declaration on The author has not employed any Generative AI tools. CEUR