Evolutionary-Intelligence / pypop

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyPop77, and PyMePop7)

Date Created 2021-01-26 (4 years ago)

Commits 8,322 (last one 16 hours ago)

Stargazers 237 (1 this week)

Watchers 7 (0 this week)

Forks 35

License gpl-3.0

Ranking

RepositoryStats indexes 643,405 repositories, of these Evolutionary-Intelligence/pypop is ranked #168,311 (74th percentile) for total stargazers, and #263,525 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #30,495/132,386.

Evolutionary-Intelligence/pypop is also tagged with popular topics, for these it's ranked: optimization-algorithms (#37/134)

Other Information

Evolutionary-Intelligence/pypop has Github issues enabled, there are 2 open issues and 9 closed issues.

Homepage URL: https://pypop.rtfd.io/

All Topics

direct-search random-search genetic-algorithms global-optimization evolution-strategies black-box-optimization differential-evolution nonlinear-optimization numerical-optimization continuous-optimization evolutionary-algorithms optimization-algorithms large-scale-optimization zeroth-order-optimization gradient-free-optimization particle-swarm-optimization consensus-based-optimization derivative-free-optimization population-based-optimization estimation-of-distribution-algorithms

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7,883 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2025-04-26 @ 07:54am, id: 333118339 / R_kgDOE9r7gw