{"library":"cma","type":"library","category":null,"description":"CMA-ES (pycma) is a Python implementation of the Covariance Matrix Adaptation Evolution Strategy, a robust randomized derivative-free numerical optimization algorithm. It is designed for challenging non-convex, ill-conditioned, multi-modal, rugged, and noisy problems in continuous and mixed-integer search spaces. The library is currently at version 4.4.4 and maintains an active release cadence with regular improvements and bug fixes.","language":"python","status":"active","version":"4.4.4","tags":["optimization","CMA-ES","evolutionary algorithms","numerical optimization","derivative-free optimization"],"last_verified":"Fri May 22","install":[{"cmd":"pip install cma","imports":["import cma\ncma.fmin2(...)","import cma\nes = cma.CMAEvolutionStrategy(...)\nes.ask()\nes.tell(...)"]}],"homepage":null,"github":"https://github.com/CMA-ES/pycma","docs":null,"changelog":null,"pypi":"https://pypi.org/project/cma/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.7,"avg_import_s":0.43,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cma/compatibility"}}