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
Link To Document :
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