Research on Optimisation focuses on solving optimisation problems, which is about finding values for unknowns such that constraints are satisfied and a cost is (near-)minimal or a gain is (near-)maximal. Sometimes the goal is to satisfy the constraints without a specific function to be minimised or maximised.
Our research is on methods and tools for mathematical programming, constraint programming, and local search. Applications of optimisation arise in many real-world domains, such as communication networks, transportation and logistics for resource allocation, personnel rostering under work regulations and employee preferences, scheduling under precedence and resource allocation constraints, vehicle routing under time windows for deliveries or pick-ups, routing and scheduling of data flows in information networks, planning and performance engineering of mobile communications systems, etc.
We coordinate the research arena of Applied Optimisation at the Department of Information Technology. The research arena is a networking effort at the department level, aiming at bringing together researchers for which optimisation is relevant for a wide range of application domains.
- Pierre Flener and Justin Pearson serve on the senior programme committee of IJCAI 2021, the 30th International Joint Conference on Artificial Intelligence, held in Montreal (Canada) in August 2021.
- We start a two-year project on sawmill optimisation with Sveaskog and others, under a Test your Hypothesis (stage 2) grant by BioInnovation, in January 2021.
- We had an open postdoc position in January 2021 and an open PhD position in December 2020.
- Our fzn-oscar-cbls backend for the MiniZinc constraint-based modelling language won a silver medal at the MiniZinc Challenge 2020.
- Gustav Björdal, Pierre Flener, and Justin Pearson served on the programme committee of AAAI 2021, the 35th AAAI Conference on Artificial Intelligence, held virtually in February 2021.