• DocumentCode
    1736319
  • Title

    Interval partition relaxed sorting conjugate gradient chaos optimization algorithm

  • Author

    Li Xiao-sheng ; Zhang Guo-shan ; Wang Jian-kui

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2013
  • Firstpage
    8010
  • Lastpage
    8015
  • Abstract
    This paper presents an interval partition relaxed sorting conjugate gradient chaos optimization algorithm (IPRSCGCOA). The new algorithm adopts the interval partition chaos search and relaxed sorting to locate search points near the global optimal solution. The conjugate gradient algorithm is further used to achieve the global optimal solution. The simulation of the new algorithm and the other method shows that the new algorithm is effective to reach the global optimal solution with better stability, better convergence precision and less iteration number. Moreover, the effectiveness of the relaxed sorting is analyzed, the relationship between interval partition number and the effectiveness of the algorithm is discussed, and the optimal interval partition numbers of the simulation examples are given.
  • Keywords
    chaos; conjugate gradient methods; optimisation; search problems; IPRSCGCOA; global optimal solution; interval partition chaos search; interval partition relaxed sorting conjugate gradient chaos optimization algorithm; optimal interval partition numbers; Chaos; Educational institutions; Electronic mail; Frequency modulation; Optimization; Partitioning algorithms; Sorting; Chaos Optimization Algorithm; Conjugate Gradient Method; Interval Partition; Relaxed Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640851