• 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