We present a stochastic, swarm intelligence-based optimization algorithm for
the prediction of global minima on potential energy surfaces of molecular
clusterstructures. Our optimization approach is a modification of the
artificial bee colony (ABC) algorithm which is inspired by the foraging
behavior of honey bees. We apply our modified ABC algorithm to the problem of
global geometryoptimization of molecular clusterstructures and show its
performance for clusters with 2–57 particles and different interatomic
interaction potentials
