The CC-GDG-CMAES algorithm

An effective algorithm to solve large scale unconstrained black box optimization problems

This algorithm solves large scale unconstrained black box optimization problems by divide-and-conquer strategy. It decomposes the large set of decision variables into smaller subcomponents using the Global Differential Grouping (GDG) and then optimize each subcomponents by the CMS-ES optimizer.