activity
20222024
most citedMulti-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing

49 citations · 55 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2024★ 1 cited

Evaluation of Quantum Annealing-based algorithms for flexible job shop scheduling

Philipp Schworm, Xiangqian Wu, Matthias Klar +1

A flexible job shop scheduling problem (FJSSP) poses a complex optimization task in modeling real-world process scheduling tasks with conflicting objectives. To tackle FJSSPs, appr…

cs.NI2024

Dynamic Spectrum Management for 6G Network-in-Network Concepts

Daniel Lindenschmitt, Paul Seehofer, Marius Schmitz +6

Flexible, self-organizing communication networks will be a key feature in the next mobile communication standard. Network-in-Network (NiN) is one important concept in 6G research,…

quant-ph2023★ 49 cited

Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing

Philipp Schworm, Xiangquian Wu, Matthias Klar +2

Flexible Job Shop Scheduling (FJSSP) is a complex optimization problem crucial for real-world process scheduling in manufacturing. Efficiently solving such problems is vital for ma…

cs.NI2023★ 5 cited

6G Underlayer Network Concepts for Ultra Reliable and Low Latency Communication in Manufacturing

Daniel Lindenschmitt, Jan Mertes, Christian Schellenberger +4

Underlayer networks in the context of 6G for manufacturing are crucial. They address the evolving needs of highly interconnected and autonomous systems in industry. The digitalizat…

cs.HC2022

PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control

Patrick Ruediger, Felix Claus, Viktor Leonhardt +3

We present PREVIS, a visual analytics tool, enhancing machine learning performance analysis in engineering applications. The presented toolchain allows for a direct comparison of r…