Explore the words cloud of the SYNERGY project. It provides you a very rough idea of what is the project "SYNERGY" about.
The following table provides information about the project.
Coordinator |
INSTITUT JOZEF STEFAN
Organization address contact info |
Coordinator Country | Slovenia [SI] |
Project website | http://synergy-twinning.eu |
Total cost | 1˙016˙890 € |
EC max contribution | 1˙016˙890 € (100%) |
Programme |
1. H2020-EU.4.b. (Twinning of research institutions) |
Code Call | H2020-TWINN-2015 |
Funding Scheme | CSA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-02-01 to 2019-01-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | INSTITUT JOZEF STEFAN | SI (LJUBLJANA) | coordinator | 489˙875.00 |
2 | TECHNISCHE HOCHSCHULE KOLN | DE (KOLN) | participant | 266˙412.00 |
3 | UNIVERSITE DE LILLE | FR (LILLE) | participant | 260˙602.00 |
4 | UNIVERSITE DES SCIENCES ET TECHNOLOGIES DE LILLE - LILLE I | FR (VILLENEUVE D'ASCQ) | participant | 0.00 |
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.
Proceedings of the BIOMA conference | Documents, reports | 2019-10-29 12:11:58 |
Report on refining surrogate modelling | Documents, reports | 2019-10-29 12:11:58 |
Report on improving excellence in multi-objective optimisation | Documents, reports | 2019-10-29 12:11:58 |
Conference proceeding of the HPO in industry conference | Documents, reports | 2019-10-29 12:11:58 |
Edited book on high-performance optimisation | Documents, reports | 2019-10-29 12:11:58 |
Report on enhancing high-performance computing | Documents, reports | 2019-10-29 12:11:58 |
Summer school course materials | Documents, reports | 2019-10-29 12:11:58 |
Potential complex optimisation problems in science and industry | Documents, reports | 2019-10-29 12:11:58 |
Report on prepared key performance indicators | Documents, reports | 2019-10-29 12:11:57 |
Tutorial on parallel multi-objective optimisation | Documents, reports | 2019-10-29 12:11:57 |
Project website | Websites, patent fillings, videos etc. | 2019-10-29 12:11:57 |
Tutorial on surrogate-assisted modelling | Documents, reports | 2019-10-29 12:11:57 |
Take a look to the deliverables list in detail: detailed list of SYNERGY deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Tušar , Tea; Hansen , Nikolaus; Brockhoff , Dimo Anytime Benchmarking of Budget-Dependent Algorithms with the COCO Platform published pages: , ISSN: , DOI: |
https://hal.inria.fr/hal-01629087 1 | 2019-10-29 |
2018 |
Gregor Papa, Gašper Petelin, and Peter Korošec Evolution of electric motor design approaches : the domel case published pages: , ISSN: , DOI: |
Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018 | 2019-10-29 |
2019 |
Tome Eftimov, Peter Korošec A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space published pages: 255-273, ISSN: 0020-0255, DOI: 10.1016/j.ins.2019.03.049 |
Information Sciences 489 | 2019-10-29 |
2018 |
Gregor Papa and Peter Korošec From a production scheduling simulation to a digital twin published pages: , ISSN: , DOI: |
Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018 | 2019-10-29 |
2017 |
Tea Tu?ar, Klemen Gantar, Valentin Koblar, Bernard ?enko, Bogdan Filipi? A study of overfitting in optimization of a manufacturing quality control procedure published pages: 77-87, ISSN: 1568-4946, DOI: 10.1016/j.asoc.2017.05.027 |
Applied Soft Computing 59 | 2019-10-29 |
2018 |
Gregor Papa, Peter Korošec, Gašper Petelin Evolution of Electric Motor Design Approaches: The Domel Case published pages: 57, ISSN: 2348-442X, DOI: 10.6025/tmd/2018/6/2/47-56 |
Transactions on Machine Design (TMD) 6/2 | 2019-10-29 |
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