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The package provides global optimization by differential evolution.
It uses an efficient C++ based implementation of the DEoptim function which performs global optimization by differential evolution. Its creation was motivated by trying to see if the old approximation “easier, shorter, faster: pick any two” could in fact be extended to achieving all three goals while moving the code from plain old C to modern C++. The initial version did in fact do so, but a good part of the gain was due to an implicit code review which eliminated a few inefficiencies which have since been eliminated in DEoptim.
Dirk Eddelbuettel extending DEoptim by David Ardia, Katharine Mullen, Brian Peterson and Joshua Ulrich, which itself is based on DE-Engine by Rainer Storn.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.