Title
Note on "A chance-constrained programming framework to handle uncertainties in radiation therapy treatment planning".
Abstract
•Proposed reformulations are not equivalent to original chance-constrained problems.•Illustration with numerical examples.•Approach proposed by Zaghian et al. (2018) gives approximation problems.
Year
DOI
Venue
2019
10.1016/j.ejor.2018.11.071
European Journal of Operational Research
Keywords
Field
DocType
OR in health services,Chance-constrained programming,Monotonic transformation,Reformulation
Monotonic function,Mathematical optimization,Programming paradigm,Radiation treatment planning,Software framework,Mathematics
Journal
Volume
Issue
ISSN
275
2
0377-2217
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Janiele Custodio100.34
Miguel A. Lejeune225321.95
Antonio Zavaleta300.34