Fast Genetic Algorithm is a simple yet powerful implementation of a general genetic algorithm, and provides many types of crossover and selection procedures.
It is suitable to solve mathematical problems such as combinatorical optimization ones, as well as to build artificial life simulations.
Written in C++, the library is released under the terms of the GNU Lesser General Public License, and it's easy to incorporate in other applications.
Further improvements include parallelization of the algorithm in multi-processor environments and general performance optimizations.
You can download the current development snapshot, which is a working but not fully tested version of the library.
What's New in This Release:
· The FGA library is now licensed under a custom license instead of the LGPL.
· It is now possible to define custom selection operators (note that the class constructor wants one more argument).