학술논문

Unbiased geometry optimisation of Morse atomic clusters
Document Type
Conference
Author
Source
IEEE Congress on Evolutionary Computation Evolutionary Computation (CEC), 2010 IEEE Congress on. :1-7 Jul, 2010
Subject
Computing and Processing
Optimization
Clustering algorithms
Lattices
Maintenance engineering
Potential energy
Search methods
Minimization
global geometry optimisation
clusters
Lennard-Jones
Morse
Language
ISSN
1089-778X
1941-0026
Abstract
This paper presents the results obtained using an unbiased Population Based Search (PBS) for optimising Morse atomic clusters. PBS is able to repeatedly obtain all putative global minima for Morse clusters in the range 5 ≤ N ≤ 80, N = 147,ρ = 3,6,10, 14, as reported in the Cambridge Cluster Database. In addition, putative global minima have been established for Morse clusters in the range 81 ≤ N ≤ 146,ρ = 14. The PBS algorithm incorporates and extends key techniques that have been developed in other cluster optimisation algorithms over the last decade. Of particular importance are the use of cut and paste operators, structure niching and a new operator, Directed Optimisation, which extends the previous concept of directed mutation. In addition, PBS is able to operate in a parallel mode for optimising larger clusters.