A chance-constrained programming framework to handle uncertainties in radiation therapy treatment planning

DOI10.1016/j.ejor.2017.10.018zbMath1403.90683OpenAlexW2766995857MaRDI QIDQ1754141

Azin Khabazian, Maryam Zaghian, Gino J. Lim

Publication date: 30 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.10.018

zbMATH Keywords

chance-constrained programmingradiation treatment planningsetup uncertainty

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Medical applications (general) (92C50)

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• Iterative solution methods for beam angle and fluence map optimization in intensity modulated radiation therapy planning
• Chance-Constrained Programming
• Advances and applications of chance-constrained approaches to systems optimisation under uncertainty
• Convex Approximations of Chance Constrained Programs

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