Differential evolution strategies with random forest regression in the bat algorithm

Authors:
Iztok Fister, Jr.;Dušan Fister;Iztok Fister
Affiliations:
University of Maribor, Faculty of electrical engineering and computer science, Maribor, Slovenia;University of Maribor, Faculty of electrical engineering and computer science, Maribor, Slovenia;University of Maribor, Faculty of electrical engineering and computer science, Maribor, Slovenia
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

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Abstract

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.