Mathematics and algorithms for intelligent decision-making
Title: Mathematics and algorithms for intelligent decision-making
DNr: NAISS 2023/23-631
Project Type: NAISS Small Storage
Principal Investigator: Elina Rönnberg <>
Affiliation: Linköpings universitet
Duration: 2024-01-01 – 2025-01-01
Classification: 10105


There are many benefits of using mathematics and algorithms to aid decision-making in complex settings. Our main focus is on discrete optimisation for decision problems that aim to schedule or allocate resources. In our research projects, we both find new ways to address decision problems by optimisation and develop new methods for solving them. Current projects include * Resource allocation and scheduling for future avionic systems * Route planning of heavy-duty electric vehicles * Discrete optimisation for automatic decision-making in large-scale complex systems