Dynamic multi-objective optimisation techniques address problems in which several conflicting objectives evolve over time. These methods are critical for applications ranging from smart systems and ...

In this paper, we propose a reference direction approach and an interactive algorithm to solve the general multiple objective integer linear programming problem. At each iteration, only one mixed ...

There have been extensive discussions and reflections on central banking since the outbreak of the global financial crisis (GFC). Country circumstances differ, but there are also a number of issues ...

Any objective will have multiple associated risks. How can you aggregate multiple sources of risk to reach a final assessment? One of the problems with traditional risk management, which relies ...