activity
20232026
most citedA quantum algorithm for solving 0-1 Knapsack problems

7 citations · 8 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CG2026

Drone Air Traffic Control: Tracking a Set of Moving Objects with Minimal Power

Chek-Manh Loi, Michael Perk, Malte Hoffmann +1

A common sensing problem is to use a set of stationary tracking locations to monitor a collection of moving devices: Given objects that need to be tracked, each following its o…

cs.DS2025

Efficient Heuristics and Exact Methods for Pairwise Interaction Sampling

Sándor P. Fekete, Phillip Keldenich, Dominik Krupke +1

We consider a class of optimization problems that are fundamental to testing in modern configurable software systems, e.g., in automotive industries. In pairwise interaction sampli…

cs.CG2025

Minimum Non-Obtuse Triangulations: The CG:SHOP Challenge 2025

Sándor P. Fekete, Phillip Keldenich, Dominik Krupke +1

We give an overview of the 2025 Computational Geometry Challenge targeting the problem Minimum Non-Obtuse Triangulation: Given a planar straight-line graph G in the plane, defined…

quant-ph2025

A quantum search method for quadratic and multidimensional knapsack problems

Sören Wilkening, Andreea-Iulia Lefterovici, Lennart Binkowski +5

Solving combinatorial optimization problems is a promising application area for quantum algorithms in real-world scenarios. In this work, we extend the "Quantum Tree Generator" (QT…

cs.CG2025

Exact Algorithms for Minimum Dilation Triangulation

Sándor P. Fekete, Phillip Keldenich, Michael Perk

We provide a spectrum of new theoretical insights and practical results for finding a Minimum Dilation Triangulation (MDT), a natural geometric optimization problem of considerable…

cs.RO2025

Multi-Covering a Point Set by Disks with Minimum Total Area

Mariem Guitouni, Chek-Manh Loi, Sándor P. Fekete +2

A common robotics sensing problem is to place sensors to robustly monitor a set of assets, where robustness is assured by requiring asset to be monitored by at least sen…