SYNERGY: Synergy for Smart Multi-Objective Optimisation

B. Filipič, T. Tušar, E. Dovgan, J. Zupančič

Demanding real-world optimization problems with multiple objectives can be solved more efficiently if parallelization is used to execute a number of simulations simultaneously and if the the time-consuming simulations are partly replaced by accurate surrogate models. In this twinning project, JSI’s Computer Systems and Intelligent Systems departments aim to strengthen their research and innovation potential in parallelization and surrogate modelling and to explore the potential of combining the two techniques in smart multi-objective optimization in collaboration with the University of Lille and Cologne University of Applied Sciences.

The objectives of the SYNERGY project are to:
– Unleash the research and innovation potential of JSI in the area of multi-objective optimization by supporting training in parallelization and surrogate modelling and aiding organization of workshops that will foster discovery of new ways of combining parallelization within surrogate modelling;
– Raise the research profile of JSI’s staff and broaden its recognition by increased networking (within the consortium as well as externally) that will result in knowledge transfer, joint publications on the topic of efficient multi-objective optimization in renowned conferences and journals with high impact factors as well as joint future research projects;
– Increase the overall research and innovation potential of Slovenia by disseminating the acquired knowledge on parallelization and surrogate modelling to other Slovenian research organizations through dedicated workshops and by applying this knowledge in future applied projects that will enable the Slovenian enterprises to efficiently tackle their time-consuming optimization problems.