Note on “A chance-constrained programming framework to handle uncertainties in radiation therapy treatment planning”

Janiele Custodio, Miguel Lejeune and Antonio Zavaleta

European Journal of Operational Research, 2019, vol. 275, issue 2, 793-794

Abstract: A recent article by Zaghian et al. (2018) proposed reformulations, proposed reformulations of stochastic chance-constrained programming models for radiation therapy treatment planning. This note questions the validity of the proposed reformulations and shows that they are not equivalent to the original formulations. Two numerical examples illustrate that the approach proposed by Zaghian et al. (2018) provides approximation problems and not reformulations.

Keywords: OR in health services; Chance-constrained programming; Monotonic transformation; Reformulation (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:275:y:2019:i:2:p:793-794

DOI: 10.1016/j.ejor.2018.11.071

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