moocore: Core Algorithms for Multi-Objective Optimization
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Contributors: Manuel López-Ibáñez, Fergus Rooney, Lennart Schäpermeier.
Introduction
The goal of moocore is to collect and document fast implementations of core mathematical functions and algorithms for multi-objective optimization. These functions include:
- Generate and transform nondominated sets.
- Identify and filter dominated vectors.
- Quality metrics such as (weighted) hypervolume, epsilon, IGD, etc.
- Computation of the Empirical Attainment Function. The empirical attainment function (EAF) describes the probabilistic distribution of the outcomes obtained by a stochastic algorithm in the objective space.
Keywords: empirical attainment function, summary attainment surfaces, EAF differences, multi-objective optimization, bi-objective optimization, performance measures, performance assessment
For more details, see the complete Documentation.
Install
You can install the latest release using pip, for example:
python3 -m pip install moocore
Or to build the latest development version from GitHub:
python3 -m pip install 'git+https://github.com/multi-objective/moocore.git#egg=moocore&subdirectory=python'
Building the development version requires a C/C++ compiler. Instead, you can install pre-compiled development wheels for your operating system. See the list of wheels here (https://github.com/multi-objective/moocore/tree/wheels), click in the wheel you wish to install then copy the View Raw link. For example,
python3 -m pip install https://github.com/multi-objective/moocore/raw/refs/heads/wheels/moocore-0.1.5.dev0-py3-none-macosx_10_9_universal2.whl
If the URL does not have the word raw then you are not using the View Raw link.
R package
There is also a moocore package for R: https://multi-objective.github.io/moocore/r
1 maintainer
Release files for moocore 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| moocore-0.3.2.tar.gz | 426.0 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| moocore-0.3.2-cp310-abi3-win_arm64.whl | CPython 3.10 | abi3 | Windows ARM64 | Details |
| moocore-0.3.2-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| moocore-0.3.2-cp310-abi3-musllinux_1_2_x86_64.whl | CPython 3.10 | abi3 | Linux musl 1.2+ x86-64 | Details |
| moocore-0.3.2-cp310-abi3-musllinux_1_2_aarch64.whl | CPython 3.10 | abi3 | Linux musl 1.2+ ARM64 | Details |
| moocore-0.3.2-cp310-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| moocore-0.3.2-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.28+ ARM64, Linux glibc 2.17+ ARM64 | Details |
| moocore-0.3.2-cp310-abi3-macosx_10_9_universal2.whl | CPython 3.10 | abi3 | macOS 10.9+ universal2 (ARM64, x86-64) | Details |
Total release size: 5.6 MB
Release files / moocore-0.3.2.tar.gz
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| Tags | Source |
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