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

被引：15

作者：

Chakraborti, N ^{[1
]}

Mishra, P

Erkoç, S

机构：

[1] Indian Inst Technol, Dept Met & Mat Engn, Kharagpur 721302, W Bengal, India

[2] Middle E Tech Univ, Dept Phys, TR-06531 Ankara, Turkey

来源：

JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION | 2004年 / 25卷 / 01期

关键词：

D O I：

10.1361/10549710417650

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

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.

引用

页码：16 / 21

页数：6

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