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67 lines (60 loc) · 2.03 KB
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[tool.poetry]
name = "pyhms"
version = "1.0.0"
description = "The HMS (Hierarchic Memetic Strategy) is a composite global optimization strategy consisting of a multi-population evolutionary strategy and some auxiliary methods. The HMS makes use of a tree with a fixed maximal height and variable internal node degree. Each component population is governed by a particular evolutionary engine. This package provides a simple python implementation with examples of using different population engines."
authors = [
"Maciej Smołka <smolka@agh.edu.pl>",
"Hubert Guzowski <guzowski@agh.edu.pl>",
"Wojciech Achtelik <wachtelik@agh.edu.pl>",
]
license = "MIT"
readme = "README.md"
repository = "https://github.com/maciejsmolka/pyhms"
keywords = ["optimization", "HMS"]
classifiers = [
"Intended Audience :: Science/Research",
"Intended Audience :: Education",
"Intended Audience :: Other Audience",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Development Status :: 5 - Production/Stable",
"Environment :: Console",
"Framework :: IPython",
"Framework :: Jupyter",
"License :: OSI Approved :: MIT License",
]
[tool.poetry.dependencies]
python = "^3.10"
cma = ">=3.2.2"
numpy = "<2"
scipy = ">=1.8.0"
matplotlib = ">=3.5.1"
treelib = ">=1.7.0"
setuptools = ">=63.2.0"
structlog = "^24.1.0"
dill = "^0.3.8"
pandas = "^2.2.2"
plotly = "^5.22.0"
kaleido = "0.2.1"
scikit-learn = "^1.5.1"
pykrige = "^1.7.2"
graphviz = "^0.20.1"
[tool.poetry.group.dev.dependencies]
pre-commit = "^3.6.0"
pytest-cov = "^4.1.0"
ipykernel = "^6.29.3"
nbformat = "^5.10.3"
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.docs.dependencies]
sphinx = "7.2.6"
sphinx_rtd_theme = "2.0.0"
readthedocs-sphinx-search = "0.3.2"
[tool.poetry.group.docs]
optional = true
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"