5 papers
Benchmarking Realistic Synthetic Instances Against a Large-Scale District Heating Network: A Multi-Objective Optimization Study for Berlin
Annika Buchholz, Stephanie Riedmüller, Matthew Passage +1
Decarbonizing urban energy systems requires optimization approaches capable of handling the operational complexity of large-scale district heating networks. However, existing studi…
Exact Objective Space Contraction for the Preprocessing of Multi-objective Integer Programs
Stephanie Riedmüller, Thorsten Koch
Solving integer optimization problems with large or widely ranged objective coefficients can lead to numerical instability and increased runtimes. When the problem also involves mu…
Column Generation for Periodic Timetabling
Stephanie Riedmüller, Niels Lindner
Periodic timetabling for public transportation networks is typically modelled as a Periodic Event Scheduling Problem (PESP). Solving instances of the benchmark library PESPlib to o…
Warm-starting Strategies in Scalarization Methods for Multi-Objective Optimization
Stephanie Riedmüller, Janina Zittel, Thorsten Koch
We explore how warm-starting strategies can be integrated into scalarization-based approaches for multi-objective optimization in (mixed) integer linear programming. Scalarization…
Enhancing Multi-Energy Modeling: The Role of Mixed-Integer Optimization Decisions
Stephanie Riedmüller, Annika Buchholz, Janina Zittel
The goal to decarbonize the energy sector has led to increased research in modeling and optimizing multi-energy systems. One of the most promising techniques for modeling (multi-)e…