Radiotherapy (radiation therapy) is one of the main treatments for cancer. The aim is to
deliver a prescribed radiation dose to the tumor, while keeping the unavoidable dose to the …

We present a method to include robustness in a multi-criteria optimization (MCO) framework
for intensity-modulated proton therapy (IMPT). The approach allows one to simultaneously …

We generalize the standard method of solving inverse optimization problems to allow for the
solution of inverse problems that would otherwise be ill posed or infeasible. In multiobjective …

Purpose: To make the planning of volumetric modulated arc therapy (VMAT) faster and to
explore the tradeoffs between planning objectives and delivery efficiency. Methods: A …

We review the field of multi-criteria optimization for radiation therapy treatment planning.
Special attention is given to the technique known as Pareto surface navigation, which allows …

We consider the problem of approximating Pareto surfaces of convex multicriteria
optimization problems by a discrete set of points and their convex combinations. Finding the …

We present our view of the state of the art in continuous multiobjective programming. After
an introduction we formulate the multiobjective program (MOP) and define the most …

The search for improved CO 2 capture solvents can be accelerated by deploying computer-
aided molecular and process design (CAMPD) techniques to explore large molecular and …

The need to consider multiple objectives in molecular design, whether based on techno-
economic, environmental or health and safety metrics is increasingly recognized. There is …

The next generation airborne collision avoidance system, ACAS X, departs from the
traditional deterministic model on which the current system, TCAS, is based. To increase …