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A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning. / Obal, Thalita; de Oliveira Florentino, Helenice; Gevert, VG; Jones, Dylan Francis; Ouelhadj, Djamila; Volpi, Neida; Wilhelm, VE.

Mini EURO conference on improving healthcare: new challenges, new approaches. IOP Publishing, 2015. p. 012012 012012 (Journal of Physics: Conference Series; Vol. 616).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Obal, T, de Oliveira Florentino, H, Gevert, VG, Jones, DF, Ouelhadj, D, Volpi, N & Wilhelm, VE 2015, A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning. in Mini EURO conference on improving healthcare: new challenges, new approaches., 012012, Journal of Physics: Conference Series, vol. 616, IOP Publishing, pp. 012012. <http://iopscience.iop.org/article/10.1088/1742-6596/616/1/012012/meta;jsessionid=4BCEDCAA47B1CED9A2663EF605EF1040.c1>

APA

Obal, T., de Oliveira Florentino, H., Gevert, VG., Jones, D. F., Ouelhadj, D., Volpi, N., & Wilhelm, VE. (2015). A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning. In Mini EURO conference on improving healthcare: new challenges, new approaches (pp. 012012). [012012] (Journal of Physics: Conference Series; Vol. 616). IOP Publishing. http://iopscience.iop.org/article/10.1088/1742-6596/616/1/012012/meta;jsessionid=4BCEDCAA47B1CED9A2663EF605EF1040.c1

Vancouver

Obal T, de Oliveira Florentino H, Gevert VG, Jones DF, Ouelhadj D, Volpi N et al. A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning. In Mini EURO conference on improving healthcare: new challenges, new approaches. IOP Publishing. 2015. p. 012012. 012012. (Journal of Physics: Conference Series).

Author

Obal, Thalita ; de Oliveira Florentino, Helenice ; Gevert, VG ; Jones, Dylan Francis ; Ouelhadj, Djamila ; Volpi, Neida ; Wilhelm, VE. / A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning. Mini EURO conference on improving healthcare: new challenges, new approaches. IOP Publishing, 2015. pp. 012012 (Journal of Physics: Conference Series).

Bibtex

@inbook{46f5c241e2454fcca8a1b9e18f0e56a4,
title = "A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning",
abstract = "In this paper a matheuristic using a combined Genetic Algorithm (GA) and exact method approach is proposed for selecting the position of the beams and dose distribution in Intensity Modulated Radiotherapy Planning (IMRT). GA selects a set of beams, for which the dose distribution is determined in the process of the GA's evaluation, using an optimisation model that is solved by an Interior Point method. Two instances are used to evaluate the performance of the matheuristic, comparing to the optimum solution, in terms of solution and computation time, found using the exact methodology of Branch and Bound. The results show that the matheuristic is appropriate to this problem in the case study proposed, as it is extremely faster than the exact method and also have reached the optimum solution in several experiments done.",
keywords = "healthcare, optimization methods.",
author = "Thalita Obal and {de Oliveira Florentino}, Helenice and VG Gevert and Jones, {Dylan Francis} and Djamila Ouelhadj and Neida Volpi and VE Wilhelm",
year = "2015",
language = "English",
series = "Journal of Physics: Conference Series",
publisher = "IOP Publishing",
pages = "012012",
booktitle = "Mini EURO conference on improving healthcare",

}

RIS

TY - CHAP

T1 - A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning

AU - Obal, Thalita

AU - de Oliveira Florentino, Helenice

AU - Gevert, VG

AU - Jones, Dylan Francis

AU - Ouelhadj, Djamila

AU - Volpi, Neida

AU - Wilhelm, VE

PY - 2015

Y1 - 2015

N2 - In this paper a matheuristic using a combined Genetic Algorithm (GA) and exact method approach is proposed for selecting the position of the beams and dose distribution in Intensity Modulated Radiotherapy Planning (IMRT). GA selects a set of beams, for which the dose distribution is determined in the process of the GA's evaluation, using an optimisation model that is solved by an Interior Point method. Two instances are used to evaluate the performance of the matheuristic, comparing to the optimum solution, in terms of solution and computation time, found using the exact methodology of Branch and Bound. The results show that the matheuristic is appropriate to this problem in the case study proposed, as it is extremely faster than the exact method and also have reached the optimum solution in several experiments done.

AB - In this paper a matheuristic using a combined Genetic Algorithm (GA) and exact method approach is proposed for selecting the position of the beams and dose distribution in Intensity Modulated Radiotherapy Planning (IMRT). GA selects a set of beams, for which the dose distribution is determined in the process of the GA's evaluation, using an optimisation model that is solved by an Interior Point method. Two instances are used to evaluate the performance of the matheuristic, comparing to the optimum solution, in terms of solution and computation time, found using the exact methodology of Branch and Bound. The results show that the matheuristic is appropriate to this problem in the case study proposed, as it is extremely faster than the exact method and also have reached the optimum solution in several experiments done.

KW - healthcare

KW - optimization methods.

UR - http://iopscience.iop.org/article/10.1088/1742-6596/616/1/012012/meta;jsessionid=4BCEDCAA47B1CED9A2663EF605EF1040.c1

M3 - Chapter (peer-reviewed)

T3 - Journal of Physics: Conference Series

SP - 012012

BT - Mini EURO conference on improving healthcare

PB - IOP Publishing

ER -

ID: 3024012