gfo-project/Gradient-Free-Optimizers
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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
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…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 -
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New release of Gradient-Free-Optimizers with two new evolutionary algorithmsstory by 528491 · 2024-07-29 · 9 comments
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Show HN: Gradient-Free-Optimizers supports constrained optimization in v1.3story by 528491 · 2023-04-11 · 0 comments
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Gradient-Free-Optimizers version 1.2 releasedstory by 528491 · 2022-11-06 · 1 comment
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…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 -
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Gradient Free Optimizers: A collection of modern optimization methods in Pythonstory by EntICOnc · 2021-02-28 · 75 comments
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Gradient-Free-Optimizers: A collection of modern optimization methods in Pythonstory by simonb42 · 2021-02-27 · 0 comments
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Optimize any Python function with modern algorithms in numerical search spacesstory by simonblanke · 2021-01-09 · 0 comments