bingo

Bingo is an open-source package designed for symbolic regression and general-purpose evolutionary optimization, primarily utilized for generating mathematical models from data. Notable features include integrated local optimization strategies, a parallel island evolution strategy using mpi4py, and the coevolution of fitness predictors, making it suitable for complex optimization tasks. The tool also provides a user-friendly API through a scikit-learn wrapper, allowing for straightforward implementation and model fitting.