Tea Tušar
TitoloCitata daAnno
Differential evolution for multiobjective optimization
T Robič, B Filipič
International Conference on Evolutionary Multi-Criterion Optimization, 520-533, 2005
Differential evolution versus genetic algorithms in multiobjective optimization
T Tušar, B Filipič
International Conference on Evolutionary Multi-Criterion Optimization, 257-271, 2007
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
COCO: A platform for comparing continuous optimizers in a black-box setting
N Hansen, A Auger, O Mersmann, T Tusar, D Brockhoff
arXiv preprint arXiv:1603.08785, 2016
A comparative study of stochastic optimization methods in electric motor design
T Tušar, P Korošec, G Papa, B Filipič, J Šilc
Applied Intelligence 27 (2), 101-111, 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
COCO: The experimental procedure
N Hansen, T Tusar, O Mersmann, A Auger, D Brockhoff
arXiv preprint arXiv:1603.08776, 2016
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
Coco: The bi-objective black box optimization benchmarking (bbob-biobj) test suite
T Tusar, D Brockhoff, N Hansen, A Auger
Preliminary numerical experiments in multiobjective optimization of a metallurgical production process
B Filipic, T Tušar, E Laitinen
Informatica 31 (2), 2007
COCO: the bi-objective black box optimization benchmarking (BBOB-BIOBJ) test suite
T Tušar, D Brockhoff, N Hansen, A Auger
CoRR abs/1604.00359, 2016
Visualizing 4D approximation sets of multiobjective optimizers with prosections
T Tušar, B Filipič
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
Intelligent High-Security Access Control
M Gams, T Tušar
Informatica 31 (4), 2007
Comparing solutions under uncertainty in multiobjective optimization
M Mlakar, T Tušar, B Filipič
Mathematical Problems in Engineering 2014, 2014
Discovering driving strategies with a multiobjective optimization algorithm
E Dovgan, M Javorski, T Tušar, M Gams, B Filipič
Applied Soft Computing 16, 50-62, 2014
Discovering comfortable driving strategies using simulation-based multiobjective optimization
E Dovgan, T Tušar, M Javorski, B Filipič
Informatica 36 (3), 2012
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
Design of an algorithm for multiobjective optimization with differential evolution
T Tušar
Cited on pages xviii and 40, 2007
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