Deliverables Documents, reports (11) Conference proceeding of the HPO in industry conference This deliverable will be a collection of articles from a conference on high performance optimisation in industry to be held in Slovenia towards the end of the project. Summer school course materials This deliverable will comprise the materials of the summer school on smart multi-objective optimisation such as its syllabus and presentations. While the course materials will be prepared for the summer school attendees, they will also be made publicly available to all interested parties. Potential complex optimisation problems in science and industry Potential complex optimisation problems in science and industry: in this deliverable, we will report some strategic large scale applications in different domains where multi-objective optimisation and surrogate-assistant modelling are crucial. Explored domains will concern: health, smart factories, smart buildings & homes, smart cities & communications, and smart use of resources. Report on enhancing high-performance computing Report on enhancing high-performance computing: we will provide a tutorial and lecture on the use of large scale heterogeneous parallel architectures for solving complex optimization problems. The focus will be put on new trends of high-performance computing identified in TOP500 international ranking including multi-core processors and co-processors (GPU, MIC) and their combination. Report on improving excellence in multi-objective optimisation The reports on improving excellence in multi-objective optimisation describes the improvements with respect to the integration of USTL and CUAS expertise to improve the expertise of all partners involved. It will focus on the actions taken to merge large scale parallel optimisation algorithms and high quality surrogate models as well as the steps to make JSI a leading authority in the field(s). Proceedings of the BIOMA conference The proceedings will contain invited and regular papers accepted to and presented at the 8th International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2018, which is the main scientific meeting to be organized by the SYNERGY partners. The proceedings will be available in electronic and printed form. Report on prepared key performance indicators This deliverable will provide the key performance indicators on all publications in high impact journals in the relevant research fields.. Tutorial on surrogate-assisted modelling The tutorial on surrogate-assisted modelling will compile the state of the art on the corresponding topic and provide best practice methods for different scenarios. It will review different modelling techniques and different procedures for the integration of surrogates in considered optimisation techniques like evolutionary algorithms. Tutorial on parallel multi-objective optimisation Tutorial on parallel multi-objective optimization: this tutorial will present the state of the art of multi-objective metaheuristics and evolutionary algorithms in terms of design and implementation. In terms of implementation, different parallel architectures will be taken into account including multi-core and many-core processors. Best practies will be also outlined considering the characteristics of applications. Report on refining surrogate modelling The report on refining surrogate modelling will describe the actions to be taken to transport CUAS know-how to JSI and the cooperation of JSI and CUAS within different events. These will spread from the organisation of events at different conferences to the dissemination of know-how to the areas from Slovenia’s Smart Specialisation Strategy. Edited book on high-performance optimisation Edited book on high-performance optimisation: this book will collect state of the art high-performance optimisation algorithms in which parallel computing and surrogate-assisted modeling are used. Different optimization algorithms, parallel architectures and applications will be tackled. Websites, patent fillings, videos etc. (1) Project website A project website (with public and private area). Publications Conference proceedings (6) Deep statistical comparison of meta-heuristic stochastic optimization algorithms Author(s): Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak Published in: Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18, 2018, Page(s) 15-16, ISBN 9781-450357647 Publisher: ACM Press DOI: 10.1145/3205651.3208210 Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach Author(s): Tome Eftimov, Peter Korosec, Barbara Korousic Seljak Published in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Page(s) 1-8, ISBN 978-1-5386-2726-6 Publisher: IEEE DOI: 10.1109/ssci.2017.8280910 The impact of statistics for benchmarking in evolutionary computation research Author(s): Tome Eftimov, Peter Korošec Published in: Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18, 2018, Page(s) 1329-1336, ISBN 9781-450357647 Publisher: ACM Press DOI: 10.1145/3205651.3208232 Evolution of electric motor design approaches : the domel case Author(s): Gregor Papa, Gašper Petelin, and Peter Korošec Published in: Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 2018, ISBN 978-961-264-138-2 Publisher: "Institut ""Jožef Stefan""" From a production scheduling simulation to a digital twin Author(s): Gregor Papa and Peter Korošec Published in: Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 2018, ISBN 978-961-264-138-2 Publisher: "Institut ""Jožef Stefan""" Anytime Benchmarking of Budget-Dependent Algorithms with the COCO Platform Author(s): Tušar , Tea; Hansen , Nikolaus; Brockhoff , Dimo Published in: https://hal.inria.fr/hal-01629087, Issue 1, 2017 Publisher: Jožef Stefan Institute Book chapters (3) Comparison of Multi-objective Approaches to the Real-World Production Scheduling Author(s): Gregor Papa, Peter Korošec Published in: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, Issue 48, 2019, Page(s) 457-471, ISBN 978-3-319-89986-2 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-89988-6_27 Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms Author(s): Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak Published in: Bioinspired Optimization Methods and Their Applications, Issue 10835, 2018, Page(s) 138-150, ISBN 978-3-319-91640-8 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-91641-5_12 Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function Author(s): Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tušar Published in: Evolutionary Multi-Criterion Optimization, Issue 10173, 2017, Page(s) 103-119, ISBN 978-3-319-54156-3 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-54157-0_8 Peer reviewed articles (13) A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space Author(s): Tome Eftimov, Peter Korošec Published in: Information Sciences, Issue 489, 2019, Page(s) 255-273, ISSN 0020-0255 Publisher: Elsevier BV DOI: 10.1016/j.ins.2019.03.049 A study of overfitting in optimization of a manufacturing quality control procedure Author(s): Tea Tu?ar, Klemen Gantar, Valentin Koblar, Bernard ?enko, Bogdan Filipi? Published in: Applied Soft Computing, Issue 59, 2017, Page(s) 77-87, ISSN 1568-4946 Publisher: Elsevier BV DOI: 10.1016/j.asoc.2017.05.027 A GRASS GIS parallel module for radio-propagation predictions Author(s): Lucas Benedičič, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korošec Published in: International Journal of Geographical Information Science, Issue 13658816, 2013, Page(s) 799-823, ISSN 1365-8816 Publisher: Taylor & Francis DOI: 10.1080/13658816.2013.879151 Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization Author(s): Peter Korošec, Marian Vajteršic, Jurij Šilc, Rade Kutil Published in: The Journal of Supercomputing, Issue 09208542, 2013, Page(s) 757-772, ISSN 0920-8542 Publisher: Kluwer Academic Publishers DOI: 10.1007/s11227-012-0772-z A multi-objective approach to the application of real-world production scheduling Author(s): Peter Korošec, Uroš Bole, Gregor Papa Published in: Expert Systems with Applications, Issue 09574174, 2013, Page(s) 5839-5853, ISSN 0957-4174 Publisher: Pergamon Press Ltd. DOI: 10.1016/j.eswa.2013.05.035 Scalar vs. vector approach to bi-objective resource allocation in spatially distributed networks Author(s): Bogdan Filipič, Risto Vesanen, Erkki Laitinen Published in: International Journal of Innovative Computing and Applications, Issue 1751648X, 2013, Page(s) 191, ISSN 1751-648X Publisher: Inderscience Publishers DOI: 10.1504/IJICA.2013.055937 GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models Author(s): Miha Mlakar, Dejan Petelin, Tea Tušar, Bogdan Filipič Published in: European Journal of Operational Research, Issue 03772217, 2015, Page(s) 347-361, ISSN 0377-2217 Publisher: Elsevier BV DOI: 10.1016/j.ejor.2014.04.011 Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method Author(s): Tea Tusar, Bogdan Filipic Published in: IEEE Transactions on Evolutionary Computation, Issue 1089778X, 2015, Page(s) 225-245, ISSN 1089-778X Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/TEVC.2014.2313407 Comparing Solutions under Uncertainty in Multiobjective Optimization Author(s): Miha Mlakar, Tea Tušar, Bogdan Filipič Published in: Mathematical Problems in Engineering, Issue 1024123X, 2014, Page(s) 1-10, ISSN 1024-123X Publisher: Hindawi Publishing Corporation DOI: 10.1155/2014/817964 Asynchronous Master-Slave Parallelization of Differential Evolution for Multi-Objective Optimization Author(s): Matjaž Depolli, Roman Trobec, Bogdan Filipič Published in: Evolutionary Computation, Issue 10636560, 2013, Page(s) 261-291, ISSN 1063-6560 Publisher: MIT Press DOI: 10.1162/EVCO_a_00076 Discovering driving strategies with a multiobjective optimization algorithm Author(s): E. Dovgan, M. Javorski, T. Tušar, M. Gams, B. Filipič Published in: Applied Soft Computing, Issue 15684946, 2014, Page(s) 50-62, ISSN 1568-4946 Publisher: Elsevier BV DOI: 10.1016/j.asoc.2013.11.014 Visualizing Exact and Approximated 3D Empirical Attainment Functions Author(s): Tea Tušar, Bogdan Filipič Published in: Mathematical Problems in Engineering, Issue 1024123X, 2014, Page(s) 1-18, ISSN 1024-123X Publisher: Hindawi Publishing Corporation DOI: 10.1155/2014/569346 Comparing a multiobjective optimization algorithm for discovering driving strategies with humans Author(s): E. Dovgan, M. Javorski, T. Tušar, M. Gams, B. Filipič Published in: Expert Systems with Applications, Issue 09574174, 2013, Page(s) 2687-2695, ISSN 0957-4174 Publisher: Pergamon Press Ltd. DOI: 10.1016/j.eswa.2012.11.006 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
