EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast.

Evolutionary algorithms forms a family of algorithms inspired by the theory of evolution, that solve various problems. They evolve a set of solutions to a given problem, in order to produce the best results. These are stochastic algorithms, because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence.

With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.