pagmo2

Why we included this project

This is a C++ library for parallel optimization built around a simple idea: one unified interface that lets you plug a genetic algorithm, an evolutionary strategy, or a local solver into the same workflow without reshaping your project. The asynchronous generalized island model runs cooperating populations across parallel workers, which pays off when you are dealing with global, multi-objective, or expensive black-box problems. Python users should note the bindings now live in the separate pygmo project; the C++ core remains solid on its own for research and teaching, and for jobs where scale matters.