Multiobjective Optimization Python Packages

moocore

Core Mathematical Functions for Multi-Objective Optimization

pygmo

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

bofire

Experimental design and (multi-objective) bayesian optimization.

torchjd

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).

pymocd

A Multi-objective community detection library written in Rust exposed to python through PyO3

desdeo

An open source computational and fullstack framework for interactive multiobjective optimization and decision-support..

entmoot

Multiobjective black-box optimization using gradient-boosted trees

mopti

Lightweight tools for experimental design and multi-objective optimization.

qpots

A BoTorch wrapper for solving multiobjective optimization problems with an implementation of the qPOTS algorithm.

parasolpy

Python tools for multi-objective decision analysis and visualization, continuing the Parasol project (Raseman et al 2019, Environmental Modelling and Software)

syftr

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

evomo

evomo

parmoo

Python library for parallel multiobjective simulation optimization

geneticpython

A simple and friendly Python framework for genetic-based algorithms

ruck

Performant evolutionary algorithms for Python.

libmtl

A PyTorch Library for Multi-Task Learning

nds

Non-dominated sorting algorithm.

dpareto

Automatic Discovery of Privacy-Utility Pareto Fronts

deltamoea

Multi-Objective Grid Search Algorithm