TY - GEN
T1 - A Reduced Variable Neighbourhood Search Algorithm for the Beam Angle Selection Problem in Radiation Therapy
AU - Gutierrez, Maicholl
AU - Cabrera-Guerrero, Guillermo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/16
Y1 - 2020/11/16
N2 - Intensity-modulated radiation therapy (IMRT) is one of the most widely used techniques in radiation therapy for the treatment of many types of cancers the main objective is to obtain a treatment plan that allows to eliminate the cancerous cells of the tumour and, at the same time, damage the organs at risk (OAR) around the tumour as little as possible. Beam Angle Optimization resolution techniques, such as reduced Variable Neighborhood Search (rVNS), are expected to be able to combine exploration and exploitation to accelerate the search for the best Beam Angle Configuration (BAC ). We have found an advantage over algorithms from the literature that we try to exploit through the proposed rVNS algorithm, combining different strategies to reduce the number of evaluations.
AB - Intensity-modulated radiation therapy (IMRT) is one of the most widely used techniques in radiation therapy for the treatment of many types of cancers the main objective is to obtain a treatment plan that allows to eliminate the cancerous cells of the tumour and, at the same time, damage the organs at risk (OAR) around the tumour as little as possible. Beam Angle Optimization resolution techniques, such as reduced Variable Neighborhood Search (rVNS), are expected to be able to combine exploration and exploitation to accelerate the search for the best Beam Angle Configuration (BAC ). We have found an advantage over algorithms from the literature that we try to exploit through the proposed rVNS algorithm, combining different strategies to reduce the number of evaluations.
KW - beam angle optimization
KW - intensity modulated radiation therapy
KW - reduced variable neighborhood search
UR - http://www.scopus.com/inward/record.url?scp=85098644898&partnerID=8YFLogxK
U2 - 10.1109/SCCC51225.2020.9281180
DO - 10.1109/SCCC51225.2020.9281180
M3 - Conference contribution
AN - SCOPUS:85098644898
T3 - Proceedings - International Conference of the Chilean Computer Science Society, SCCC
BT - 2020 39th International Conference of the Chilean Computer Science Society, SCCC 2020
PB - IEEE Computer Society
T2 - 39th International Conference of the Chilean Computer Science Society, SCCC 2020
Y2 - 16 November 2020 through 20 November 2020
ER -
