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

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Chakraborti N., Mishra P., Erkoc S.

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

• Publication Type: Article / Article
• Volume: 25 Issue: 1
• Publication Date: 2004
• Doi Number: 10.1361/10549710417650
• Journal Name: JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.16-21
• Middle East Technical University Affiliated: No

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.