• DocumentCode
    3023439
  • Title

    Genetic Algorithm optimization for a surgical ultrasonic transducer

  • Author

    Porto, Daniel ; Bourquard, Aurélien ; Perriard, Yves

  • Author_Institution
    Integrated Actuators Lab. (LAI), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne
  • fYear
    2008
  • fDate
    2-5 Nov. 2008
  • Firstpage
    1457
  • Lastpage
    1460
  • Abstract
    An ultrasonic piezoelectric transducer to cut the human tissue or to remove the spinal disc is envisioned to improve efficiency and facilitate the surgeons work. Three genetic algorithms have been developed. The first one is based on conditional genetic operators, the second one is based on a specific crossover operator definition with a local search method, and the third is a combination of both the previous algorithms. The third algorithm is used to optimize the piezoelectric transducer. In less than 5000 simulations the optimizations give an amplitude of the cutting tip of about 4.8 microns.
  • Keywords
    biomedical ultrasonics; genetic algorithms; piezoelectric transducers; surgery; ultrasonic transducers; conditional genetic operators; genetic algorithm; human tissue; local search method; optimization; specific crossover operator; spinal disc; surgical ultrasonic transducer; ultrasonic piezoelectric transducer; Actuators; Convergence; Cooling; Genetic algorithms; Genetic mutations; Humans; Laboratories; Piezoelectric transducers; Surgery; Ultrasonic transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2008. IUS 2008. IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2428-3
  • Electronic_ISBN
    978-1-4244-2480-1
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2008.0354
  • Filename
    4803488