Differential evolution strategies with random forest regression in the bat algorithm
Iztok Fister, Dušan Fister, Iztok Fister · 2013
In this paper, we present a novel solution for the hybridization of the bat algorithm with differential evolution strategies and a random forests machine learning method. Extensive experiments and tests on standard benchmark functions have shown that these hybridized algorithms improved the original bat algorithm significantly.