  Swarm intelligence is a very powerful technique to be used for optimization
purposes. In this paper we present a new swarm intelligence algorithm, based on
the bat algorithm. The Bat algorithm is hybridized with differential evolution
strategies. Besides showing very promising results of the standard benchmark
functions, this hybridization also significantly improves the original bat
algorithm.
