Tea Tušar
Cited by
Cited by
Differential evolution for multiobjective optimization
T Robič, B Filipič
Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005
COCO: A platform for comparing continuous optimizers in a black-box setting
N Hansen, A Auger, R Ros, O Mersmann, T Tušar, D Brockhoff
Optimization Methods and Software 36 (1), 114-144, 2021
Visualization of Pareto front approximations in evolutionary multiobjective optimization: A critical review and the prosection method
T Tušar, B Filipič
IEEE Transactions on Evolutionary Computation 19 (2), 225-245, 2014
Differential evolution versus genetic algorithms in multiobjective optimization
T Tušar, B Filipič
Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007
COCO: performance assessment
N Hansen, A Auger, D Brockhoff, D Tušar, T Tušar
arXiv preprint arXiv:1605.03560, 2016
Data management in the mirabel smart grid system
M Boehm, L Dannecker, A Doms, E Dovgan, B Filipič, U Fischer, ...
Proceedings of the 2012 joint EDBT/ICDT workshops, 95-102, 2012
GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models
M Mlakar, D Petelin, T Tušar, B Filipič
European Journal of Operational Research 243 (2), 347-361, 2015
A comparative study of stochastic optimization methods in electric motor design
T Tušar, P Korošec, G Papa, B Filipič, J Šilc
Applied Intelligence 27, 101-111, 2007
COCO: the bi-objective black box optimization benchmarking (bbob-biobj) test suite
T Tušar, D Brockhoff, N Hansen, A Auger
ArXiv e-prints, 2016
COCO: The experimental procedure
N Hansen, T Tusar, O Mersmann, A Auger, D Brockhoff
arXiv preprint arXiv:1603.08776, 2016
Mixed-integer benchmark problems for single-and bi-objective optimization
T Tušar, D Brockhoff, N Hansen
Proceedings of the Genetic and Evolutionary Computation Conference, 718-726, 2019
A study of overfitting in optimization of a manufacturing quality control procedure
T Tušar, K Gantar, V Koblar, B Ženko, B Filipič
Applied Soft Computing 59, 77-87, 2017
Open issues in surrogate-assisted optimization
J Stork, M Friese, M Zaefferer, T Bartz-Beielstein, A Fischbach, ...
High-performance simulation-based optimization, 225-244, 2020
COCO: A platform for comparing continuous optimizers in a black-box setting. ArXiv e-prints
N Hansen, A Auger, O Mersmann, T Tušar, D Brockhoff
arXiv preprint arXiv:1603.08785 172, 2016
Evolutionary scheduling of flexible offers for balancing electricity supply and demand
T Tušar, E Dovgan, B Filipič
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
Comparing solutions under uncertainty in multiobjective optimization
M Mlakar, T Tušar, B Filipič
Mathematical Problems in Engineering 2014, 2014
Preliminary numerical experiments in multiobjective optimization of a metallurgical production process
B Filipic, T Tušar, E Laitinen
Informatica 31 (2), 2007
Biobjective performance assessment with the COCO platform
D Brockhoff, T Tušar, D Tušar, T Wagner, N Hansen, A Auger
arXiv preprint arXiv:1605.01746, 2016
Comparing continuous optimizers: numbbo/COCO on Github
N Hansen, D Brockhoff, O Mersmann, T Tusar, D Tusar, OA ElHara, ...
Zenodo, doi 10, 2019
A taxonomy of methods for visualizing pareto front approximations
B Filipič, T Tušar
Proceedings of the genetic and evolutionary computation conference, 649-656, 2018
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