Fast Genetic Algorithm 1.3.4

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 its 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.
Enhancements:
- Dynamic arrays were fixed to compile even on non-C99 compilers (like MSVC).
- A switch to choose whether to preserve the fittest individual across generations was added.
- The pthreads-win32 library was included in the package, as well as Visual C++ and Dev-C++ projects to easily build the source code on Windows.
- A function that computes the standard deviation of fitness values was added (thanks to Jonas Neubert for the contribution).