FGA (Fast Genetic Algorithm) is a simple yet powerful implementation of genetic algorithms. The library provides many variants of crossover and selection procedures, and a parallel version of the algorithm is included.
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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 now the class constructor wants one more argument).
- 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).
Fixed a possible source of a segmentation fault in cycle(). Added a Windows version of the graphical TSP solver.
Fixed a possible source of segmentation fault in select_tournament(). A graphical interface for the TSP example was added in the experimental code page.
A bug in the load() procedure was fixed.
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