DocumentCode
2328916
Title
Unbiased geometry optimisation of Morse atomic clusters
Author
Pullan, Wayne
Author_Institution
Sch. of Inf. & Commun. Technol., Griffith Univ., Gold Coast, QLD, Australia
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
7
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.
Keywords
Morse potential; atomic clusters; mathematical operators; minimisation; Cambridge Cluster Database; Directed Optimisation; Morse atomic clusters; PBS algorithm; Population Based Search; cluster optimisation algorithms; cut operators; directed mutation; larger cluster optimisation; paste operators; putative global minima; structure niching; unbiased geometry optimisation; Clustering algorithms; Lattices; Maintenance engineering; Minimization; Optimization; Potential energy; Search methods; Lennard-Jones; Morse; clusters; global geometry optimisation;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location
Barcelona
Print_ISBN
978-1-4244-6909-3
Type
conf
DOI
10.1109/CEC.2010.5586213
Filename
5586213
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