Many real-world application areas, such as advanced manufacturing, involve optimisation of several, often timeconsuming and conflicting objectives. For example, they require the maximisation of the product quality while minimising the production cost, and rely on demanding numerical simulations in order to assess the objectives.

These, so-called multi-objective optimisation problems can be solved more efficiently if parallelisation is used to execute the simulations simultaneously and if the simulations are partly replaced by accurate surrogate models.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 692286.