A C++ application programming interface for biased random-key genetic algorithms 

R. F. Toso and M. G. C. Resende

Optimization Methods and Software,
vol. 30, pp. 81-93, 2015.


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.

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