• DocumentCode
    3745645
  • Title

    Self-Evolutionary Genetic Algorithm for Vector Field Measuring System Registration

  • Author

    Qiang Wen;Jia-Song Wang;Cheng-Lin Mao;Cui-Cui Li

  • Author_Institution
    Coll. of Sci. Harbin, Harbin Eng. Univ., Harbin, China
  • fYear
    2015
  • Firstpage
    1358
  • Lastpage
    1363
  • Abstract
    Many situations require two vector field measuring systems to work together, such as strap down navigation technology. Therefore, identify the spatial relationship between vector field measuring systems is a prerequisite for engineering applications. This paper deduces the relationship of two vector field measuring systems and proposes fitness function. Then use the self-evolutionary genetic algorithm to align the measuring systems. The simulation results show that self-evolutionary genetic algorithm can be used effectively in the registration of two measuring systems and the noise and sampling data have direct impact on the registration accuracy.
  • Keywords
    "Sociology","Statistics","Genetic algorithms","Next generation networking","Encoding","Simulation","Noise measurement"
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/IMCCC.2015.291
  • Filename
    7406070