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

2004-02-01
Chakraborti, N
Mishra, P
Erkoç, Şakir
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.

Citation Formats
N. Chakraborti, P. Mishra, and Ş. Erkoç, “A study of the Cu clusters using gray-coded genetic algorithms and differential evolution,” JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION, vol. 25, no. 1, pp. 16–21, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57246.