R Interface to 'libcmaes' // A lightweight interface to the 'libcmaes' C++ library for the Covariance Matrix Adaptation Evolution Strategy (CMA-ES). CMA-ES is a state-of-the-art evolutionary algorithm for the optimization of difficult non- linear, non-convex black-box functions, as described in Hansen and Ostermeier (2001) doi:10.1162/106365601750190398. Supports the active, separable, and VD (diagonal plus rank-one covariance) variants of the algorithm as well as the IPOP (increasing population size) and BIPOP (bi-population) restart strategies. A patched copy of 'libcmaes' (LGPL = 3) is bundled; see the COPYRIGHTS file for details.