GitHub topics: population-based-optimization
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, PyDPop77, and PyMePop7)
Language: Python - Size: 958 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 245 - Forks: 38
EMI-Group/evox
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Language: Python - Size: 42.6 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 570 - Forks: 85
TheCaesar13/Feature-Selection-for-Text
An implementation of the new Slime Mold Algorithm, a heuristic optimization technique, in combination with filter/statistical fitness functions for selecting the best subset of features from text datasets.
Language: Python - Size: 13.7 KB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
kalifou/data-driven-initialization-to-search
A data-driven initialization to population-based search strategies
Language: Jupyter Notebook - Size: 33.5 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
Evolutionary-Intelligence/dpop7
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
Language: Python - Size: 259 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 1