A Python/C++ library for bound-constrained global optimization using a biased random-key genetic algorithm. This paper describes libbrkga, a GNU-style dynamic shared Python/C++ library of the biased random-key genetic algorithm (BRKGA) for bound constrained global optimization. BRKGA (J Heuristics 17:487-525, 2011b) is a general search metaheuristic for finding optimal or near-optimal solutions to hard optimization problems. It is derived from the random-key genetic algorithm of Bean (ORSA J Comput 6:154-160, 1994), differing in the way solutions are combined to produce offspring. After a brief introduction to the BRKGA, including a description of the local search procedure used in its decoder, we show how to download, install, configure, and use the library through an illustrative example.
Keywords for this software
References in zbMATH (referenced in 1 article , 1 standard article )
Showing result 1 of 1.
- Silva, R.M.A.; Resende, M.G.C.; Pardalos, P.M.: A Python/C++ library for bound-constrained global optimization using a biased random-key genetic algorithm (2015)