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, cilt.25, sa.1, ss.16-21, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 1
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1361/10549710417650
  • Dergi Adı: JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.16-21
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

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.