Multi Objective Optimization Python Packages

moocore

Core Mathematical Functions for Multi-Objective Optimization

paretoset

Compute the Pareto (non-dominated) set, i.e., skyline operator/query.

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

torchjd

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

evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

pyaugmecon

An AUGMECON based multi-objective optimization solver for Pyomo.

flowboost

🏄‍♂️ Multi-objective optimization library for OpenFOAM, powered by Ax. Modular, optimizer-agnostic, cluster-native.

openbox

Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

adaptor

ACL 2022: Adaptor: a library to easily adapt a language model to your own task, domain, or custom objective(s).

water-futures-battle

Part of the Battle of Water Networks competition series | WDSA/CCWI 2026, May 18-21, Paphos, Cyprus. Design & operate water distribution systems under deep uncertainty, featuring staged interventions, AI & policymaking.

foambo

A tiny project to use ax-platform for multi-objective Bayesian Optimization on OpenFOAM cases

nsma

A Memetic Procedure for Global Multi-Objective Optimization

iddefix

IDDEFIX is a physics-informed evolutionary optimization framework that fits a resonator-based model (parameterized by R, f, Q) to wakefield simulation data.

moead-framework

MOEA/D Framework in Python 3

pydiffgame

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

evoxbench

Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.

chatcortex

Multi-objective architecture search for non-hardcoded agent pipelines

moospread

[ICLR 2026] SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion

libmtl

A PyTorch Library for Multi-Task Learning

hydrowizard

HydroWizard: State-of-the-art hydrological modeling, optimization, and simulation using neural networks, genetic algorithms, and DAGs.

lite-bo

Efficient and generalized blackbox optimization (BBO) system

optframe

Python bindings for OptFrame Functional Core

pyamosa

Python implementation of the Archived Multi-Objective Simulated Annealing (AMOSA) optimization heuristic

meco

MECO: Multi-objective Evolutionary Compression.