ISSN 0253-2778

CN 34-1054/N

open
Free to Publish. Free to Read.
Open AccessOpen Access JUSTC

Comparative study of basin-hopping and the minima-hopping global optimization methods: A case study on Lennard-Jones clusters

  • 1.

    Department of Electronic Information, Anhui Finance & Trade Vocational College, Hefei 230601, China

  • 2.

    Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA

  • 3.

    Dalian Institute of Chemical Physics of Chinese Academy of Sciences, Dalian 116000, China

  • 4.

    Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230039, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2015.05.005
  • Received Date: 24 March 2015
  • Rev Recd Date: 12 May 2015
  • Publish Date: 31 May 2015
    Abstract

  • Abstract

    In order to find a better algorithm for global optimization of Lennard-Jones cluster, two algorithms, basin-hopping and minima-hopping, were used to optimize the structures of 13 particles, 38 particles, and 60 particles Lennard-Jones clusters. Both algorithms find global minima, while the minima-hopping method yields a faster search speed which is at least one order faster than the basin-hopping method.

    Abstract

    In order to find a better algorithm for global optimization of Lennard-Jones cluster, two algorithms, basin-hopping and minima-hopping, were used to optimize the structures of 13 particles, 38 particles, and 60 particles Lennard-Jones clusters. Both algorithms find global minima, while the minima-hopping method yields a faster search speed which is at least one order faster than the basin-hopping method.
    • FullText(HTML)
  • loading
    • References(0)
    • Supplements(0)
    • Related Articles
    • Track Citations
  • 加载中

Catalog

    |
    Get Citation
    PDF
    XML
    Recommended articles
    TrendMD
    Volume 45 Issue 5 page: 373-378
    Cover

    Article Metrics

    Article views (357) PDF downloads(170)
    Proportional views

    Copyright © Editorial Office of JUSTC, All Rights Reserved. 皖ICP备05002528号

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return