Department of Information Technology

The Optimisation Group

The Optimisation Group 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.

The optimisation group is coordinating 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.

News from the Optimisation Group

  • We host the Annual Meeting of SOAF, the Swedish Operations Research Association, in the afternoon of Wednesday 6 March 2019.
  • Pierre Flener serves on the senior programme committee of IJCAI 2019, the 28th International Joint Conference on Artificial Intelligence, held in Macao (China) in August 2019.
  • Justin Pearson serves on the programme committee of AI Testing 2019, the 1st IEEE International Conference on Artificial Intelligence (for) Testing, held in San Francisco (CA, USA) in April 2019.

Updated  2018-12-10 14:04:06 by Pierre Flener.