1 citations · 1 across the 7 of their papers we have counts for
7 papers
An Adaptive Algorithm for the Approximation of General Linear-Parametric Optimization Problems
Levin Nemesch, Stefan Ruzika, Clemens Thielen +1
Linear-multi-parametric optimization problems are a widely studied class of optimization problems. The objective function in such a problem is affine linear dependent on a paramete…
Parametric Biobjective Linear Programming
Kezang Yuden, Levin Nemesch, Stefan Ruzika
We consider parametric linear programming problems with multiple objective functions depending linearly on some parameter. Both parametric (single-objective) linear programming and…
A High-Performance Parallel Algorithm for Multi-Objective Integer Optimization
Kathrin Prinz, Levin Nemesch, Stefan Ruzika
Multi-objective integer optimization problems are hard to solve, mainly because the number of nondominated images is often extremely large. We present the first exact algorithm, ca…
An Approximation Framework for Parametric Matroid Interdiction Problems
Nils Hausbrandt, Levin Nemesch, Stefan Ruzika
Matroid interdiction problems are well-researched in the field of combinatorial optimization. In the matroid -interdiction problem, an interdiction strategy removes a subset…
A Polynomial-Time Inner Approximation Algorithm for Multi-Objective and Parametric Optimization
Levin Nemesch, Stefan Ruzika, Clemens Thielen +1
In multi-objective optimization, computing the entire non-dominated set (also known as the Pareto front or the Pareto frontier) is often intractable. However, for any multiplicativ…
A Survey of Exact and Approximation Algorithms for Linear-Parametric Optimization Problems
Levin Nemesch, Stefan Ruzika, Clemens Thielen +1
Linear-parametric optimization, where multiple objectives are combined into a single objective using linear combinations with parameters as coefficients, has numerous links to othe…
PaMILO: A Solver for Multi-Objective Mixed Integer Linear Optimization and Beyond
Fritz Bökler, Levin Nemesch, Mirko H. Wagner
In multi-objective optimization, several potentially conflicting objective functions need to be optimized. Instead of one optimal solution, we look for the set of so called non-dom…