Black Box Optimization Python Packages

cmaes

Python library for CMA Evolution Strategy.

geneticalgorithm

Genetic Algorithm Package for Python

pypop7

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. [https://jmlr.org/papers/v25/23-0386.html]

pysot

Surrogate Optimization Toolbox for Python

evox

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

surfaces

Standardized test-functions for optimization algorithms and machine-learning

entmoot

Multiobjective black-box optimization using gradient-boosted trees

yabox

Yet another black-box optimization library for Python

cobyqa

A derivative-free solver for general nonlinear optimization.

shgo

Simplicial Homology Global Optimization

trust-bo

Fast CPU-driven High-Dimensional Bayesian Optimization in Rust with seamless Optuna integration.

dacbench

A benchmark library for Dynamic Algorithm Configuration.

kurobako

A Python library to help implementing kurobako's solvers and problems

seamaze

A python library for classical, limited-memory, and dynamical low-rank covariance matrix adaptation evolution strategy.

crfmnes

CR-FM-NES for numerical optimization in Python

dxnesici

(GECCO 2023) Natural Evolution Strategy for Mixed-Integer Black-Box Optimization

soogo

Surrogate-based 0-th Order Global Optimization for black-box problems.

blackboxoptim

Surrogate-based 0-th Order Global Optimization for black-box problems.

metaevobox

An all-in-one platform for using and developing the algorithms in Meta-Black-Box Optimization

surfaces-dashboard

Standardized test-functions for optimization algorithms and machine-learning

surfaces-onnx-files

Standardized test-functions for optimization algorithms and machine-learning

bbobax

Accelerated Black-Box Optimization Benchmark in JAX

surfaces-cec-data

Standardized test-functions for optimization algorithms and machine-learning

gradient-free-objective-functions

A collection and visualization of black-box objective functions