Objective Many real-world application areas, such as advanced manufacturing, involve optimisation of several, often time-consuming 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.The overall goal of the SYNERGY project is to overcome the limitations of the current initial-stage research in multi-objective optimization at the Jožef Stefan Institute (JSI), Ljubljana, Slovenia, where efficiency measures have only been explored at a very small scale and with no collaboration with other partners. To that end, JSI initiates this project with two high-profile research institutions with complementary expertise, Université des sciences et technologies de Lille (USTL), France, and Cologne University of Applied Sciences (CUAS), Germany. While USTL is a leading partner in parallelisation on large-scale heterogeneous architectures, CUAS provides expertise in surrogate modelling and its deployment in optimisation problems.The project addresses three core objectives: (1) improve JSI excellence and unleash its research and innovation potential through training in parallelisation and surrogate modelling, and aiding organisation of workshops that will foster discovery of new ways of combining the two methods; (2) raise the research profile of JSI staff and broaden its recognition through networking that will result in knowledge transfer, joint publications and future research projects; and (3) increase the overall research and innovation potential of Slovenia by disseminating the acquired knowledge to other Slovenian research organisations, and deploying it in future applied projects. Fields of science engineering and technologyother engineering and technologies Keywords Improving excellence on multi-objective optimisation parallelisation synergy surrogate modelling Programme(s) H2020-EU.4.b. - Twinning of research institutions Main Programme Topic(s) H2020-TWINN-2015 - Twinning Call for proposal H2020-TWINN-2015 See other projects for this call Funding Scheme CSA - Coordination and support action Coordinator INSTITUT JOZEF STEFAN Net EU contribution € 489 875,00 Address Jamova 39 1000 Ljubljana Slovenia See on map Region Slovenija Zahodna Slovenija Osrednjeslovenska Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 489 875,00 Participants (2) Sort alphabetically Sort by Net EU contribution Expand all Collapse all TECHNISCHE HOCHSCHULE KOLN Germany Net EU contribution € 266 412,50 Address GUSTAV-HEINEMANN-UFER 54 50968 Koln See on map Region Nordrhein-Westfalen Köln Köln, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 266 412,50 UNIVERSITE DE LILLE France Net EU contribution € 260 602,50 Address 42 RUE PAUL DUEZ 59000 Lille See on map Region Hauts-de-France Nord-Pas de Calais Nord Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 260 602,50