Get Started

Gradient-Free-Optimizers provides 22 optimization algorithms behind a simple, Pythonic API. These pages cover everything you need to go from installation to running your first optimization.

Introduction

Install the library, run your first optimization, and learn the core workflow: search space, objective function, optimizer, results.

Introduction

Optimization Algorithms

Overview of all 23 algorithms organized by category: local, global, population-based, and sequential model-based.

Optimization Algorithms

Mixed Search Spaces

Continuous, discrete, and categorical dimensions freely mixed in a single search space dictionary.

Mixed Search Spaces

Minimal Dependencies

Only NumPy and pandas required. No heavy frameworks, no compiled extensions, fast installation everywhere.

Minimal Dependencies

Pythonic API

Dict search spaces, callable objectives, DataFrame results. Standard Python data structures, no special objects.

Pythonic API