Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms

Ngoc Hoang Luong; Anton Bouter; Marjolein C. van der Meer; Yury Niatsetski; Cees Witteveen; Arjan Bel; Tanja Alderliesten; Peter A. N. Bosman

doi:https://doi.org/10.1145/3067695.3082491

Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms

Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

Original language	English
Title of host publication	GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Editors	Peter A. N. Bosman
Place of Publication	New York
Publisher	ACM
Pages	1372-1379
ISBN (Print)	9781450349390
DOIs	https://doi.org/10.1145/3067695.3082491
Publication status	Published - 2017

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https://doi.org/10.1145/3067695.3082491

Cite this

Luong, N. H., Bouter, A., van der Meer, M. C., Niatsetski, Y., Witteveen, C., Bel, A., Alderliesten, T., & Bosman, P. A. N. (2017). Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. In P. A. N. Bosman (Ed.), GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1372-1379). ACM. https://doi.org/10.1145/3067695.3082491

Luong, Ngoc Hoang ; Bouter, Anton ; van der Meer, Marjolein C. et al. / Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. editor / Peter A. N. Bosman. New York : ACM, 2017. pp. 1372-1379

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title = "Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms",

author = "Luong, {Ngoc Hoang} and Anton Bouter and {van der Meer}, {Marjolein C.} and Yury Niatsetski and Cees Witteveen and Arjan Bel and Tanja Alderliesten and Bosman, {Peter A. N.}",

year = "2017",

doi = "https://doi.org/10.1145/3067695.3082491",

language = "English",

isbn = "9781450349390",

pages = "1372--1379",

editor = "Bosman, {Peter A. N.}",

booktitle = "GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion",

publisher = "ACM",

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Luong, NH, Bouter, A, van der Meer, MC, Niatsetski, Y, Witteveen, C, Bel, A, Alderliesten, T & Bosman, PAN 2017, Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. in PAN Bosman (ed.), GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, New York, pp. 1372-1379. https://doi.org/10.1145/3067695.3082491

Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. / Luong, Ngoc Hoang; Bouter, Anton; van der Meer, Marjolein C. et al.
GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. ed. / Peter A. N. Bosman. New York: ACM, 2017. p. 1372-1379.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms

AU - Luong, Ngoc Hoang

AU - Bouter, Anton

AU - van der Meer, Marjolein C.

AU - Niatsetski, Yury

AU - Witteveen, Cees

AU - Bel, Arjan

AU - Alderliesten, Tanja

AU - Bosman, Peter A. N.

PY - 2017

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DO - https://doi.org/10.1145/3067695.3082491

M3 - Conference contribution

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BT - GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion

A2 - Bosman, Peter A. N.

PB - ACM

CY - New York

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Luong NH, Bouter A, van der Meer MC, Niatsetski Y, Witteveen C, Bel A et al. Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. In Bosman PAN, editor, GECCO '17 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: ACM. 2017. p. 1372-1379 doi: https://doi.org/10.1145/3067695.3082491