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
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;
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
DOI :
10.1109/ULTSYM.2008.0354