May 26, 2018
Fast Genetic Algorithm library
FGA 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 combinatorial 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.
A parallel version of the algorithm using POSIX threads is included in order to take advantage of multi-processor environments.