Synergy for Smart Multi-Objective Optimisation

Livrables

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.

Project website

A project website (with public and private area).

Publications

A GRASS GIS parallel module for radio-propagation predictions

Auteurs: Lucas Benedičič, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korošec
Publié dans: International Journal of Geographical Information Science, Numéro 28/4, 2013, Page(s) 799-823, ISSN 1365-8816
Éditeur: Taylor & Francis
DOI: 10.1080/13658816.2013.879151

Scalar vs. vector approach to bi-objective resource allocation in spatially distributed networks

Auteurs: Bogdan Filipič, Risto Vesanen, Erkki Laitinen
Publié dans: International Journal of Innovative Computing and Applications, Numéro 5/3, 2013, Page(s) 191, ISSN 1751-648X
Éditeur: Inderscience Publishers
DOI: 10.1504/IJICA.2013.055937

Visualizing Exact and Approximated 3D Empirical Attainment Functions

Auteurs: Tea Tušar, Bogdan Filipič
Publié dans: Mathematical Problems in Engineering, Numéro 2014, 2014, Page(s) 1-18, ISSN 1024-123X
Éditeur: Hindawi Publishing Corporation
DOI: 10.1155/2014/569346

GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models

Auteurs: Miha Mlakar, Dejan Petelin, Tea Tušar, Bogdan Filipič
Publié dans: European Journal of Operational Research, Numéro 243/2, 2015, Page(s) 347-361, ISSN 0377-2217
Éditeur: 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

Auteurs: Tea Tusar, Bogdan Filipic
Publié dans: IEEE Transactions on Evolutionary Computation, Numéro 19/2, 2015, Page(s) 225-245, ISSN 1089-778X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TEVC.2014.2313407

Comparing Solutions under Uncertainty in Multiobjective Optimization

Auteurs: Miha Mlakar, Tea Tušar, Bogdan Filipič
Publié dans: Mathematical Problems in Engineering, Numéro 2014, 2014, Page(s) 1-10, ISSN 1024-123X
Éditeur: Hindawi Publishing Corporation
DOI: 10.1155/2014/817964

A multi-objective approach to the application of real-world production scheduling

Auteurs: Peter Korošec, Uroš Bole, Gregor Papa
Publié dans: Expert Systems with Applications, Numéro 40/15, 2013, Page(s) 5839-5853, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2013.05.035

Comparing a multiobjective optimization algorithm for discovering driving strategies with humans

Auteurs: E. Dovgan, M. Javorski, T. Tušar, M. Gams, B. Filipič
Publié dans: Expert Systems with Applications, Numéro 40/7, 2013, Page(s) 2687-2695, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2012.11.006

Asynchronous Master-Slave Parallelization of Differential Evolution for Multi-Objective Optimization

Auteurs: Matjaž Depolli, Roman Trobec, Bogdan Filipič
Publié dans: Evolutionary Computation, Numéro 21/2, 2013, Page(s) 261-291, ISSN 1063-6560
Éditeur: MIT Press
DOI: 10.1162/EVCO_a_00076

Discovering driving strategies with a multiobjective optimization algorithm

Auteurs: E. Dovgan, M. Javorski, T. Tušar, M. Gams, B. Filipič
Publié dans: Applied Soft Computing, Numéro 16, 2014, Page(s) 50-62, ISSN 1568-4946
Éditeur: Elsevier BV
DOI: 10.1016/j.asoc.2013.11.014

A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space

Auteurs: Tome Eftimov, Peter Korošec
Publié dans: Information Sciences, Numéro 489, 2019, Page(s) 255-273, ISSN 0020-0255
Éditeur: Elsevier BV
DOI: 10.1016/j.ins.2019.03.049

A study of overfitting in optimization of a manufacturing quality control procedure

Auteurs: Tea Tu?ar, Klemen Gantar, Valentin Koblar, Bernard ?enko, Bogdan Filipi?
Publié dans: Applied Soft Computing, Numéro 59, 2017, Page(s) 77-87, ISSN 1568-4946
Éditeur: Elsevier BV
DOI: 10.1016/j.asoc.2017.05.027

A GRASS GIS parallel module for radio-propagation predictions

Auteurs: Lucas Benedičič, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korošec
Publié dans: International Journal of Geographical Information Science, Numéro 13658816, 2013, Page(s) 799-823, ISSN 1365-8816
Éditeur: Taylor & Francis
DOI: 10.1080/13658816.2013.879151

Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization

Auteurs: Peter Korošec, Marian Vajteršic, Jurij Šilc, Rade Kutil
Publié dans: The Journal of Supercomputing, Numéro 09208542, 2013, Page(s) 757-772, ISSN 0920-8542
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11227-012-0772-z

A multi-objective approach to the application of real-world production scheduling

Auteurs: Peter Korošec, Uroš Bole, Gregor Papa
Publié dans: Expert Systems with Applications, Numéro 09574174, 2013, Page(s) 5839-5853, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2013.05.035

Scalar vs. vector approach to bi-objective resource allocation in spatially distributed networks

Auteurs: Bogdan Filipič, Risto Vesanen, Erkki Laitinen
Publié dans: International Journal of Innovative Computing and Applications, Numéro 1751648X, 2013, Page(s) 191, ISSN 1751-648X
Éditeur: Inderscience Publishers
DOI: 10.1504/IJICA.2013.055937

GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models

Auteurs: Miha Mlakar, Dejan Petelin, Tea Tušar, Bogdan Filipič
Publié dans: European Journal of Operational Research, Numéro 03772217, 2015, Page(s) 347-361, ISSN 0377-2217
Éditeur: 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

Auteurs: Tea Tusar, Bogdan Filipic
Publié dans: IEEE Transactions on Evolutionary Computation, Numéro 1089778X, 2015, Page(s) 225-245, ISSN 1089-778X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TEVC.2014.2313407

Comparing Solutions under Uncertainty in Multiobjective Optimization

Auteurs: Miha Mlakar, Tea Tušar, Bogdan Filipič
Publié dans: Mathematical Problems in Engineering, Numéro 1024123X, 2014, Page(s) 1-10, ISSN 1024-123X
Éditeur: Hindawi Publishing Corporation
DOI: 10.1155/2014/817964

Asynchronous Master-Slave Parallelization of Differential Evolution for Multi-Objective Optimization

Auteurs: Matjaž Depolli, Roman Trobec, Bogdan Filipič
Publié dans: Evolutionary Computation, Numéro 10636560, 2013, Page(s) 261-291, ISSN 1063-6560
Éditeur: MIT Press
DOI: 10.1162/EVCO_a_00076

Discovering driving strategies with a multiobjective optimization algorithm

Auteurs: E. Dovgan, M. Javorski, T. Tušar, M. Gams, B. Filipič
Publié dans: Applied Soft Computing, Numéro 15684946, 2014, Page(s) 50-62, ISSN 1568-4946
Éditeur: Elsevier BV
DOI: 10.1016/j.asoc.2013.11.014

Visualizing Exact and Approximated 3D Empirical Attainment Functions

Auteurs: Tea Tušar, Bogdan Filipič
Publié dans: Mathematical Problems in Engineering, Numéro 1024123X, 2014, Page(s) 1-18, ISSN 1024-123X
Éditeur: Hindawi Publishing Corporation
DOI: 10.1155/2014/569346

Comparing a multiobjective optimization algorithm for discovering driving strategies with humans

Auteurs: E. Dovgan, M. Javorski, T. Tušar, M. Gams, B. Filipič
Publié dans: Expert Systems with Applications, Numéro 09574174, 2013, Page(s) 2687-2695, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2012.11.006

Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization

Auteurs: Peter Korošec, Marian Vajteršic, Jurij Šilc, Rade Kutil
Publié dans: The Journal of Supercomputing, Numéro 63/3, 2013, Page(s) 757-772, ISSN 0920-8542
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11227-012-0772-z

Deep statistical comparison of meta-heuristic stochastic optimization algorithms

Auteurs: Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak
Publié dans: Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18, 2018, Page(s) 15-16, ISBN 9781-450357647
Éditeur: ACM Press
DOI: 10.1145/3205651.3208210

Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach

Auteurs: Tome Eftimov, Peter Korosec, Barbara Korousic Seljak
Publié dans: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Page(s) 1-8, ISBN 978-1-5386-2726-6
Éditeur: IEEE
DOI: 10.1109/ssci.2017.8280910

The impact of statistics for benchmarking in evolutionary computation research

Auteurs: Tome Eftimov, Peter Korošec
Publié dans: Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18, 2018, Page(s) 1329-1336, ISBN 9781-450357647
Éditeur: ACM Press
DOI: 10.1145/3205651.3208232

Evolution of electric motor design approaches : the domel case

Auteurs: Gregor Papa, Gašper Petelin, and Peter Korošec
Publié dans: Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 2018, ISBN 978-961-264-138-2
Éditeur: "Institut ""Jožef Stefan"""

From a production scheduling simulation to a digital twin

Auteurs: Gregor Papa and Peter Korošec
Publié dans: Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 2018, ISBN 978-961-264-138-2
Éditeur: "Institut ""Jožef Stefan"""

Anytime Benchmarking of Budget-Dependent Algorithms with the COCO Platform

Auteurs: Tušar , Tea; Hansen , Nikolaus; Brockhoff , Dimo
Publié dans: https://hal.inria.fr/hal-01629087, Numéro 1, 2017
Éditeur: Jožef Stefan Institute

Comparison of Multi-objective Approaches to the Real-World Production Scheduling

Auteurs: Gregor Papa, Peter Korošec
Publié dans: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, Numéro 48, 2019, Page(s) 457-471, ISBN 978-3-319-89986-2
Éditeur: 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

Auteurs: Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak
Publié dans: Bioinspired Optimization Methods and Their Applications, Numéro 10835, 2018, Page(s) 138-150, ISBN 978-3-319-91640-8
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-91641-5_12

Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function

Auteurs: Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tušar
Publié dans: Evolutionary Multi-Criterion Optimization, Numéro 10173, 2017, Page(s) 103-119, ISBN 978-3-319-54156-3
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-54157-0_8

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