• DocumentCode
    1348220
  • Title

    A High-Speed, Performance-Optimization Algorithm Based on a Gravitational Approach

  • Author

    Naji, Hamid Reza ; Sohrabi, M. ; Rashedi, Esmat

  • Author_Institution
    High Technol. & Environ. Sci., Kerman Grad. Univ. of Technol., Kerman, Iran
  • Volume
    14
  • Issue
    5
  • fYear
    2012
  • Firstpage
    56
  • Lastpage
    62
  • Abstract
    Gravitational search algorithms (GSAs) yield high performances in solving optimization problems, but require time-consuming computations for the total force on each mass which makes the speed of optimization very low. However, replacing a GSA´s sequential approach with a multiagent system could improve a GSA´s speed considerably while maintaining the high performance level.
  • Keywords
    multi-agent systems; optimisation; search problems; GSA sequential approach; gravitational approach; gravitational search algorithms; high-speed performance-optimization algorithm; multiagent system; optimization problems; Acceleration; Gravity; Heuristic algorithms; Multiagent systems; Optimization; Runtime; Sequential analysis; GSA; gravitational search algorithm; gravity; multiagent systems; optimization; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2011.95
  • Filename
    6042846
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1348220