21 citations · 38 across the 11 of their papers we have counts for
11 papers
Multi-Criteria Inverse Robustness in Radiotherapy Planning Using Semidefinite Programming
Jan Schröeder, Yair Censor, Philipp Süss +1
Radiotherapy planning naturally leads to a multi-criteria optimization problem which is subject to different sources of uncertainty. In order to find the desired treatment plan, a…
Multicriteria Adjustable Regret Robust Optimization for Building Energy Supply Design
Elisabeth Halser, Elisabeth Finhold, Neele Leithäuser +2
Optimizing a building's energy supply design is a task with multiple competing criteria, where not only monetary but also, for example, an environmental objective shall be taken in…
Immunity to Increasing Condition Numbers of Linear Superiorization versus Linear Programming
Jan Schröder, Yair Censor, Philipp Süss +1
Given a family of linear constraints and a linear objective function one can consider whether to apply a Linear Programming (LP) algorithm or use a Linear Superiorization (LinSup)…
Multicriteria Adjustable Robustness
Elisabeth Halser, Elisabeth Finhold, Neele Leithäuser +3
Multicriteria adjustable robust optimization (MARO) problems arise in a wide variety of practical settings, for example, in the design of a building's energy supply. However, no ge…
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization
David Mogalle, Philipp Seufert, Jan Schwientek +2
Modeling real processes often results in several suitable models. In order to be able to distinguish, or discriminate, which model best represents a phenomenon, one is interested,…
The Reward-Penalty-Selection Problem
T. Heller, S. O. Krumke, K. -H. Küfer
The Set Cover Problem (SCP) and the Hitting Set Problem (HSP) are well-studied optimization problems. In this paper we introduce the Reward-Penalty-Selection Problem (RPSP) which c…
An adaptive discretization method solving semi-infinite optimization problems with quadratic rate of convergence
Tobias Seidel, Karl-Heinz Küfer
Semi-infinite programming can be used to model a large variety of complex optimization problems. The simple description of such problems comes at a price: semi-infinite problems ar…
Accelerating two projection methods via perturbations with application to Intensity-Modulated Radiation Therapy
E. Bonacker, A. Gibali, K. -H. Küfer
Constrained convex optimization problems arise naturally in many real-world applications. One strategy to solve them in an approximate way is to translate them into a sequence of c…
A generalized projection-based scheme for solving convex constrained optimization problems
Aviv Gibali, Karl-Heinz Küfer, Daniel Reem +1
In this paper we present a new algorithmic realization of a projection-based scheme for general convex constrained optimization problem. The general idea is to transform the origin…
Speedup of lexicographic optimization by superiorization and its applications to cancer radiotherapy treatment
Esther Bonacker, Aviv Gibali, Karl-Heinz Küfer +1
Multicriteria optimization problems occur in many real life applications, for example in cancer radiotherapy treatment and in particular in intensity modulated radiation therapy (I…
Molecular modelling and simulation of the surface tension of real quadrupolar fluids
Stephan Werth, Katrin Stöbener, Peter Klein +3
Molecular modelling and simulation of the surface tension of fluids with force fields is discussed. 29 real fluids are studied, including nitrogen, oxygen, carbon dioxide, carbon m…