ParMOO: Python library for parallel multiobjective simulation optimization

ParMOO is a Python library for solving multiobjective simulation-based optimization problems, while exploiting problem structure.

ParMOO stands for “parallel multiobjective optimization”. ParMOO can be used to solve multiobjective optimization problems (MOOPs) or to generate batches of simulation inputs for parallel evaluation.

ParMOO is intended for scientists, engineers, optimizers, and other practitioners, who are looking to build or use custom solvers for computationally expensive multiobjective problems.

If you’re new to ParMOO:

Check out the Quickstart

Try some of our Basic Tutorials

Try Running in Parallel using libEnsemble

Check us out on GitHub

Table of Contents

API:

ParMOO API

Tutorials:

Developer Guide:

Indices:

Index

Module Index