multi-objective-optimization/pyproject.toml at main · hajibabaie/multi-objective-optimization · GitHub

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[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"

[project]
name = "multi-objective-optimization"
version = "1.0.0"
description = "Implementations of five multi-objective evolutionary algorithms on the MOP2 benchmark problem."
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }
authors = [
    { name = "Mohammad Sadegh Hajibabaie", email = "hajibabaie.mohammad@gmail.com" },
]
keywords = [
    "multi-objective optimization",
    "evolutionary algorithms",
    "pareto front",
    "metaheuristics",
    "nsga-ii",
    "mopso",
    "spea2",
    "pesa-ii",
    "moea/d",
]
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Topic :: Scientific/Engineering :: Mathematics",
    "Intended Audience :: Science/Research",
]
dependencies = [
    "numpy>=1.21",
    "scipy>=1.7",
    "matplotlib>=3.4",
]

[project.optional-dependencies]
test = ["pytest>=7.0"]

[project.urls]
Homepage = "https://github.com/hajibabaie/multi-objective-optimization"
Repository = "https://github.com/hajibabaie/multi-objective-optimization"

[project.scripts]
mopt = "mopt.cli:main"

[tool.setuptools.packages.find]
include = ["mopt*"]

[tool.pytest.ini_options]
testpaths = ["tests"]