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

Maicholl Gutierrez, Guillermo Cabrera-Guerrero

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2020 39th International Conference of the Chilean Computer Science Society, SCCC 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728183282
DOIs
StatePublished - 16 Nov 2020
Externally publishedYes
Event39th International Conference of the Chilean Computer Science Society, SCCC 2020 - Coquimbo, Chile
Duration: 16 Nov 202020 Nov 2020

Publication series

NameProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volume2020-November
ISSN (Print)1522-4902

Conference

Conference39th International Conference of the Chilean Computer Science Society, SCCC 2020
CountryChile
CityCoquimbo
Period16/11/2020/11/20

Keywords

  • beam angle optimization
  • intensity modulated radiation therapy
  • reduced variable neighborhood search

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