gfo-project/Gradient-Free-Optimizers
View on GitHub ↗ ★ 1,278 Python
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
8 mentions on Hacker News by 5 people: 6 stories, 2 comments · first 2021-01-09 · latest 2024-08-01
20082026
-
…is not self-adapting the parameters (like mutation strength) of the individuals in the population: https://github.com/SimonBlanke/Gradient-Free-Optimizers/issu...
comment by 528491 · 2024-08-01 · in New release of Gradient-Free-Optimizers with two new evolutionary algorithms -
…looks like it’s set up to capture variance. The BO algo wraps an “Expected Improvement Optimizer”: https://github.com/SimonBlanke/Gradient-Free-Optimizers/blob... Which selects new points based on both the model’s mean estimate and its…
comment by plaidfuji · 2021-02-28 · in Gradient Free Optimizers: A collection of modern optimization methods in Python