pycma is a Python implementation of CMA-ES and a few related numerical optimization tools. The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a stochastic derivative-free numerical optimization algorithm for difficult (non-convex, ill-conditioned, multi-modal, rugged, noisy) optimization problems in continuous search spaces.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Rath, Katharina; Albert, Christopher G.; Bischl, Bernd; von Toussaint, Udo: Symplectic Gaussian process regression of maps in Hamiltonian systems (2021)
- Taewon David Kim, Michael Richer, Gabriela Sánchez-Díaz, Farnaz Heidar-Zadeh, Toon Verstraelen, Ramón Alain Miranda-Quintana, Paul W. Ayers: Fanpy: A Python Library for Prototyping Multideterminant Methods in Ab Initio Quantum Chemistry (2021) arXiv