A study of the Cu clusters using gray-coded genetic algorithms and differential evolution


Chakraborti N., Mishra P., Erkoc S.

JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION, vol.25, no.1, pp.16-21, 2004 (SCI-Expanded) identifier identifier

Abstract

Energy minimization studies were carried out for a number of Cu clusters using binary and Gray-coded genetic algorithms along with real coded differential evolution, and their optimized ground state geometries are presented. The potential energy function is constructed using a two-body interaction methodology, involving both attractive and repulsive pair-potential terms. The results obtained through the evolutionary algorithms are compared against those obtained earlier using a Monte Carlo technique.