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In an avionic system, communications and activities need to be scheduled to ensure the functionality of the aeroplane. Efficient methods for such scheduling are of importance for the development of future avionic systems.

We have developed solution methods for computationally challenging large scale instances of Markowitz's mean-variance portfolio optimization problem. We are also studying the cardinality-constrained version of the problem.

Decision problems for dynamic systems with timeliness or performance requirements can be formulated as discrete optimization problems.

In this project we have developed column generation methods for a kind of scheduling in telecommunication and for solving transportation problems with both fixed and linear costs.

Electrification of heavy transports places new and high demands on planning for vehicle use and charging. Researchers at LiU have launched a project with the final aim of developing calculation software for planning routes for electric trucks.

Scheduling is a complicated matter of huge importance at many workplaces. Researchers in optimisation at LiU have therefore developed a methodology for scheduling that is able to meet all the various types of requirements.