Skip to main content

Multi-Objective Optimization in Python

Project description


You can find the detailed documentation here:

build status python 3.6 license apache


The framework is available at the PyPi Repository:

pip install -U pysampling


The method to be used for sampling using different algorithm must be import from pysampling.sample. Here, we use Latin Hypercube Sampling to generate 50 points in 2 dimensions.

import matplotlib.pyplot as plt
from pysampling.sample import sample

X = sample("lhs", 50, 2)

plt.scatter(X[:, 0], X[:, 1], s=30, facecolors='none', edgecolors='r')


Feel free to contact me if you have any question:

Julian Blank (blankjul [at]
Michigan State University
Computational Optimization and Innovation Laboratory (COIN)
East Lansing, MI 48824, USA

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysampling-0.1.2.tar.gz (28.6 kB view hashes)

Uploaded source

Built Distribution

pysampling-0.1.2-py3-none-any.whl (33.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page