opytimizer

Why we included this project

Opytimizer gathers a wide range of nature-inspired search algorithms behind one consistent Python API. You can move between particle swarm, genetic approaches, and less common bioinspired variants without rewriting your experiment code, since each optimizer shares the same interface. That makes it a practical fit for tuning hyperparameters, calibrating simulation models, or working on black-box problems where gradient-based methods stall. One thing to know before adopting it: the project has moved to a new maintainer repository under the Recogna Laboratory, so check there for the latest releases. The original codebase still serves as a useful reference for comparing and prototyping these algorithms.