In this paper, we describe brkgaAPI, an efficient and easy-to-use object oriented application programming interface for the algorithmic framework of biased random-key genetic algorithms. Our cross-platform library automatically handles the large portion of problem-independent modules that are part of the framework, including population management and evolutionary dynamics, leaving to the user the task of implementing a problem-dependent procedure to convert a vector of random keys into a solution to the underlying optimization problem. Our implementation is written in the C++ programming language and may benefit from shared-memory parallelism when available.
Citation
AT&T Labs Research Technical Report, AT&T Labs Research, Florham Park, NJ 07932, August 2011.