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

Rodrigo F. Toso, Maurício G. C. Resende

Optimization methods & software · 2014 · 131 citations · 15 references

Concepts

Abstract

Abstract. 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. 1.

References

15