• DocumentCode
    1986053
  • Title

    Optimal Design of Accelerating Structure with Nose Cone Shape Based on Genetic Algorithm

  • Author

    Zhenxing Tang ; Yuanji Pei

  • Author_Institution
    Nat. Synchrotron Radiat. Lab., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    1
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    181
  • Lastpage
    184
  • Abstract
    This paper analyzed the process of optimal design of accelerating structure and described the method of optimal design of accelerating structure based on genetic algorithm (GA). We performed the simulation experiment which is optimal design of the accelerating structure with a nose cone shape using the C++ programming language to write GA program. It proved that the algorithm was feasible and it gave a set of geometric parameter with higher shunt impedance for accelerating structure.
  • Keywords
    C++ language; genetic algorithms; mechanical engineering computing; shapes (structures); C++ programming language; GA program; genetic algorithm; geometric parameter; nose cone shape; optimal accelerating structure design; Acceleration; Impedance; Nose; Optimization; Shape; Sociology; Statistics; Accelerating Structure; Genetic Algorithm; Optimization; Shunt Impedance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ISCID.2013.52
  • Filename
    6804965
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1986053