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 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 1
  • Publication Date: 2004
  • Doi Number: 10.1361/10549710417650
  • Title of Journal : JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION
  • Page Numbers: pp.16-21

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.