• DocumentCode
    677302
  • Title

    An estimation method of optimal feature factor based on the balance of exploration and exploitation

  • Author

    Kun Li ; Ming Li ; Hao Chen

  • Author_Institution
    Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2013
  • fDate
    26-28 Aug. 2013
  • Firstpage
    325
  • Lastpage
    330
  • Abstract
    Under the background of the balance of exploration and exploitation, this paper analyzes the causes of the optimization hardness by using the concepts of effective ratio of exploration and exploitation. Then, a novel method is proposed to estimate the optimal feature factor, which is the essential part of optimal contraction theorem. At last, the method is tested with eight test functions. Some disadvantages of optimal feature factors are found by analysis the test results.
  • Keywords
    computational complexity; estimation theory; optimisation; estimation method; exploitation balance; exploration balance; optimal contraction theorem; optimal feature factor; optimization hardness; test function; Correlation; Educational institutions; Erbium; Estimation; Extraterrestrial measurements; Floors; Optimization; Evolutionary Computation; GA; Optimal Contraction Theorem; Optimization Hardness; PSO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2013 IEEE International Conference on
  • Conference_Location
    Yinchuan
  • Type

    conf

  • DOI
    10.1109/ICInfA.2013.6720318
  • Filename
    6720318