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• W2093886554 abstract "We develop a constraint generation solution method for robust optimization problems in radiation therapy in which the problems include a large number of robust constraints. Each robust constraint must hold for any realization of an uncertain parameter within a given uncertainty set. Because the problems are large scale, the robust counterpart is computationally challenging to solve. To address this challenge, we explore different strategies of adding constraints in a constraint generation solution approach. We motivate and demonstrate our approach using robust intensity-modulated radiation therapy treatment planning for breast cancer. We use clinical data to compare the computational efficiency of our constraint generation strategies with that of directly solving the robust counterpart." @default.
• W2093886554 created "2016-06-24" @default.
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• W2093886554 date "2016-03-01" @default.
• W2093886554 modified "2023-10-14" @default.
• W2093886554 title "Constraint generation methods for robust optimization in radiation therapy" @default.
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• W2093886554 doi "https://doi.org/10.1016/j.orhc.2015.03.003" @default.
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