Static robust optimization has played an important role in radiotherapy, where the decisions
aim to safeguard against all possible realizations of uncertainty. However, it may lead to …

This paper explores a class of nonlinear Adjustable Robust Optimization (ARO) problems,
containing here-and-now and wait-and-see variables, with uncertainty in the objective …

Radiotherapy treatment planning is a challenging large-scale optimization problem plagued
by uncertainty. Following the robust optimization methodology, we propose a novel, spatially …

Radiation therapy treatment planning (RTTP) is a medically important, multistage clinical
problem that poses a number of challenges in practice. This daily clinical task is full of highly …

Robust Optimization (RO) is a popular approach for dealing with uncertain data in
optimization. In static robust optimization, decision variables represent here-and-now …

Uncertainties can be time-dependent, particularly in areas such as cancer radiotherapy
planning and maintenance scheduling, where the condition of the patient (or system) can …