EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and 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.
EpochX is a genetic programming framework. It is designed specifically for the task of analyzing evolutionary automatic programming, so is ideal for researchers who require an extendable system for studying the effects of new operators or procedures. It supports 3 popular representations - Strongly-Typed tree GP, Context-Free Grammar GP, and Grammatical Evolution.
The dANN project is a library to help facilitate artificial neural networks, artificial intelligence, and artificial genetics within other applications. It is currently written in Java, C++, and C#. However, only the Java version is currently in active development. The other versions can only be obtained from SVN. It provides a powerful interface for programs to include conventional artificial intelligence technology and artificial genetics into their code. It also acts as a testing ground for research and development of new concepts.