Asynchronous Successive Halving Algorithm

The Asynchronous Successive Halving Algorithm is a method used to efficiently find the best options—like the most effective algorithms or configurations—by testing many candidates with varying resources. Instead of testing all equally, it starts with many options, evaluates their performance, and quickly discards the less promising ones. It then reallocates resources to the stronger candidates and repeats this process. "Asynchronous" means it doesn't wait for all tests to finish before moving on; it updates continuously as results come in. This approach saves time and computation while honing in on the most promising choices effectively.