A Reduced Variable Neighbourhood Search Algorithm for the Beam Angle Selection Problem in Radiation Therapy

Maicholl Gutierrez, Guillermo Cabrera-Guerrero

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2020 39th International Conference of the Chilean Computer Science Society, SCCC 2020
EditorialIEEE Computer Society
ISBN (versión digital)9781728183282
DOI
EstadoPublicada - 16 nov. 2020
Evento39th International Conference of the Chilean Computer Science Society, SCCC 2020 - Coquimbo, Chile
Duración: 16 nov. 202020 nov. 2020

Serie de la publicación

NombreProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volumen2020-November
ISSN (versión impresa)1522-4902

Conferencia

Conferencia39th International Conference of the Chilean Computer Science Society, SCCC 2020
País/TerritorioChile
CiudadCoquimbo
Período16/11/2020/11/20

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