Preference learning in multi-objective decision making

Start date

November 2016

End date

October 2019


This project investigates the current state of the art methods and algorithms relevant for decision making support systems. Focus points of the investigation are multi- and many-objective evolutionary optimisation methods as well as non-evolutionary MCDM methods and methods from portfolio management in relation to decision making support systems in which user of a system are supported in the task of selecting solutions from a numerically identified Pareto front.

Funding amount