default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTea Tusar
Person information
- affiliation: Jozef Stefan Institute, Ljubljana, Slovenia
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2025
[j20]Aljosa Vodopija
, Tea Tusar, Bogdan Filipic:
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective. IEEE Trans. Evol. Comput. 29(1): 275-285 (2025)- 2023
- [j19]Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar:
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. Appl. Soft Comput. 136: 110121 (2023) - 2022
- [j18]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar:
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites. Evol. Comput. 30(2): 165-193 (2022) - [j17]Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Characterization of constrained continuous multiobjective optimization problems: A feature space perspective. Inf. Sci. 607: 244-262 (2022) - [j16]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar:
Anytime Performance Assessment in Blackbox Optimization Benchmarking. IEEE Trans. Evol. Comput. 26(6): 1293-1305 (2022) - 2021
- [j15]Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, Dimo Brockhoff:
COCO: a platform for comparing continuous optimizers in a black-box setting. Optim. Methods Softw. 36(1): 114-144 (2021) - 2020
- [j14]Konstantinos Varelas, Ouassim Ait ElHara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, Tea Tusar, Anne Auger:
Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond. Appl. Soft Comput. 97(Part): 106737 (2020) - 2018
- [j13]Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves, Tea Tusar:
Unveiling evolutionary algorithm representation with DU maps. Genet. Program. Evolvable Mach. 19(3): 351-389 (2018) - 2017
- [j12]Tea Tusar, Klemen Gantar, Valentin Koblar, Bernard Zenko, Bogdan Filipic:
A study of overfitting in optimization of a manufacturing quality control procedure. Appl. Soft Comput. 59: 77-87 (2017) - 2015
- [j11]Miha Mlakar, Dejan Petelin, Tea Tusar, Bogdan Filipic:
GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models. Eur. J. Oper. Res. 243(2): 347-361 (2015) - [j10]Tea Tusar, Bogdan Filipic:
Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method. IEEE Trans. Evol. Comput. 19(2): 225-245 (2015) - 2014
- [j9]Erik Dovgan, Matija Javorski, Tea Tusar, Matjaz Gams, Bogdan Filipic:
Discovering driving strategies with a multiobjective optimization algorithm. Appl. Soft Comput. 16: 50-62 (2014) - 2013
- [j8]Erik Dovgan, Matija Javorski, Tea Tusar, Matjaz Gams, Bogdan Filipic:
Comparing a multiobjective optimization algorithm for discovering driving strategies with humans. Expert Syst. Appl. 40(7): 2687-2695 (2013) - 2012
- [j7]Erik Dovgan, Tea Tusar, Matija Javorski, Bogdan Filipic:
Discovering Comfortable Driving Strategies Using Simulation-Based Multiobjective Optimization. Informatica (Slovenia) 36(3): 319-326 (2012) - 2011
- [j6]Bostjan Kaluza, Erik Dovgan, Tea Tusar, Milind Tambe, Matjaz Gams:
A probabilistic risk analysis for multimodal entry control. Expert Syst. Appl. 38(6): 6696-6704 (2011) - 2010
- [j5]Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gams:
Improving user verification by implementing an agent-based security system. J. Ambient Intell. Smart Environ. 2(1): 21-30 (2010) - 2009
- [j4]Domen Marincic, Tea Tusar, Matjaz Gams, Tomaz Sef:
Analysis of Automatic Stress Assignment in Slovene. Informatica 20(1): 35-50 (2009) - 2007
- [j3]Tea Tusar, Peter Korosec, Gregor Papa, Bogdan Filipic, Jurij Silc:
A comparative study of stochastic optimization methods in electric motor design. Appl. Intell. 27(2): 101-111 (2007) - [j2]Bogdan Filipic, Erkki Laitinen, Tea Tusar:
Preliminary Numerical Experiments in Multiobjective Optimization of a Metallurgical Production Process. Informatica (Slovenia) 31(2): 233-240 (2007) - [j1]Matjaz Gams, Tea Tusar:
Intelligent High-Security Access Control. Informatica (Slovenia) 31(4): 469-477 (2007)
Conference and Workshop Papers
- 2024
- [c40]Andrejaana Andova, Jordan N. Cork, Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack. EvoApplications@EvoStar 2024: 310-325 - [c39]Pavel Krömer, Vojtech Uher, Tea Tusar, Bogdan Filipic:
On the Latent Structure of the bbob-biobj Test Suite. EvoApplications@EvoStar 2024: 326-341 - [c38]Andrejaana Andova, Jordan N. Cork, Tea Tusar, Bogdan Filipic:
Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems. GECCO 2024 - 2023
- [c37]Tea Tusar, Aljosa Vodopija, Bogdan Filipic:
Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization. EMO 2023: 3-16 - [c36]Andrejaana Andova, Tobias Benecke, Harald Ludwig, Tea Tusar:
Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes. EvoApplications@EvoStar 2023: 442-457 - [c35]Dimo Brockhoff, Tea Tusar:
GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0. GECCO Companion 2023: 1183-1212 - 2022
- [c34]Pavel Krömer, Vojtech Uher, Andrejaana Andova, Tea Tusar, Bogdan Filipic:
Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. CSCI 2022: 336-342 - [c33]Dimo Brockhoff, Tea Tusar:
GECCO 2022 tutorial on benchmarking multiobjective optimizers 2.0. GECCO Companion 2022: 1269-1309 - 2021
- [c32]Dimo Brockhoff, Tea Tusar:
Benchmarking multiobjective optimizers 2.0. GECCO Companion 2021: 664-668 - 2020
- [c31]Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks:
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. GECCO Companion 2020: 293-294 - [c30]Bogdan Filipic, Tea Tusar:
Visualization in multiobjective optimization. GECCO Companion 2020: 775-800 - 2019
- [c29]Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar:
Single- and multi-objective game-benchmark for evolutionary algorithms. GECCO 2019: 647-655 - [c28]Tea Tusar, Dimo Brockhoff, Nikolaus Hansen:
Mixed-integer benchmark problems for single- and bi-objective optimization. GECCO 2019: 718-726 - [c27]Bogdan Filipic, Tea Tusar:
Visualization in multiobjective optimization. GECCO (Companion) 2019: 951-974 - [c26]Andrea De Lorenzo, Eric Medvet, Tea Tusar, Alberto Bartoli:
An analysis of dimensionality reduction techniques for visualizing evolution. GECCO (Companion) 2019: 1864-1872 - [c25]Dimo Brockhoff, Tea Tusar:
Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. GECCO (Companion) 2019: 1905-1911 - 2018
- [c24]Bogdan Filipic, Tea Tusar:
A taxonomy of methods for visualizing pareto front approximations. GECCO 2018: 649-656 - [c23]Bogdan Filipic, Tea Tusar:
Visualization in multiobjective optimization. GECCO (Companion) 2018: 858-879 - [c22]Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Comparing black-box differential evolution and classic differential evolution. GECCO (Companion) 2018: 1537-1544 - 2017
- [c21]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar:
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. EMO 2017: 103-119 - [c20]Eric Medvet, Tea Tusar:
The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity. GECCO (Companion) 2017: 1705-1712 - 2016
- [c19]Bogdan Filipic, Tea Tusar:
Visualization in Multiobjective Optimization. GECCO (Companion) 2016: 735-751 - [c18]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. GECCO (Companion) 2016: 1167 - [c17]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. GECCO (Companion) 2016: 1217-1223 - [c16]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1225-1232 - [c15]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1233-1239 - [c14]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1241-1247 - [c13]Tea Tusar, Bogdan Filipic:
Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite. GECCO (Companion) 2016: 1249-1256 - [c12]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1257-1264 - [c11]Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood:
Women@GECCO 2016 Chairs' Welcome. GECCO (Companion) 2016: 1447-1449 - 2014
- [c10]Tea Tusar, Bogdan Filipic:
Initial experiments in visualization of empirical attainment function differences using maximum intensity projection. GECCO (Companion) 2014: 1099-1106 - 2013
- [c9]Bogdan Filipic, Tea Tusar:
Challenges of applying optimization methodology in industry. GECCO (Companion) 2013: 1103-1104 - [c8]Tea Tusar, Bogdan Filipic:
An approach to visualizing the 3D empirical attainment function. GECCO (Companion) 2013: 1367-1372 - 2012
- [c7]Tea Tusar, Erik Dovgan, Bogdan Filipic:
Evolutionary scheduling of flexible offers for balancing electricity supply and demand. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c6]Matthias Böhm, Lars Dannecker, Andreas Doms, Erik Dovgan, Bogdan Filipic, Ulrike Fischer, Wolfgang Lehner, Torben Bach Pedersen, Yoann Pitarch, Laurynas Siksnys, Tea Tusar:
Data management in the MIRABEL smart grid system. EDBT/ICDT Workshops 2012: 95-102 - [c5]Miha Mlakar, Tea Tusar, Bogdan Filipic:
Discrete vs. continuous multiobjective optimization of continuous casting of steel. GECCO (Companion) 2012: 587-590 - 2011
- [c4]Tea Tusar, Bogdan Filipic:
Visualizing 4D approximation sets of multiobjective optimizers with prosections. GECCO 2011: 737-744 - 2010
- [c3]Erik Dovgan, Tea Tusar, Bogdan Filipic:
Parameter tuning in an evolutionary algorithm for commodity transportation optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - 2009
- [c2]Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gams:
Agent-Based Security System for User Verification. Web Intelligence/IAT Workshops 2009: 331-334 - 2007
- [c1]Tea Tusar, Bogdan Filipic:
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization. EMO 2007: 257-271
Parts in Books or Collections
- 2023
- [p3]Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar:
Identifying Properties of Real-World Optimisation Problems Through a Questionnaire. Many-Criteria Optimization and Decision Analysis 2023: 59-80 - 2020
- [p2]Hernán E. Aguirre, Kiyoshi Tanaka, Tea Tusar, Bogdan Filipic:
Optimization and Visualization in Many-Objective Space Trajectory Design. High-Performance Simulation-Based Optimization 2020: 93-112 - [p1]Jörg Stork, Martina Friese, Martin Zaefferer, Thomas Bartz-Beielstein, Andreas Fischbach, Beate Breiderhoff, Boris Naujoks, Tea Tusar:
Open Issues in Surrogate-Assisted Optimization. High-Performance Simulation-Based Optimization 2020: 225-244
Editorship
- 2024
- [e6]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15148, Springer 2024, ISBN 978-3-031-70054-5 [contents] - [e5]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15149, Springer 2024, ISBN 978-3-031-70067-5 [contents] - [e4]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15150, Springer 2024, ISBN 978-3-031-70070-5 [contents] - [e3]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15151, Springer 2024, ISBN 978-3-031-70084-2 [contents] - 2022
- [e2]Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13398, Springer 2022, ISBN 978-3-031-14713-5 [contents] - [e1]Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13399, Springer 2022, ISBN 978-3-031-14720-3 [contents]
Informal and Other Publications
- 2023
- [i11]Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective. CoRR abs/2302.02170 (2023) - [i10]Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar:
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. CoRR abs/2302.08479 (2023) - 2021
- [i9]Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective. CoRR abs/2109.04564 (2021) - 2020
- [i8]Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks:
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. CoRR abs/2004.06395 (2020) - [i7]Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar:
Identifying Properties of Real-World Optimisation Problems through a Questionnaire. CoRR abs/2011.05547 (2020) - 2019
- [i6]Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger:
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. CoRR abs/1903.06396 (2019) - 2016
- [i5]Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff:
COCO: The Experimental Procedure. CoRR abs/1603.08776 (2016) - [i4]Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff:
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. CoRR abs/1603.08785 (2016) - [i3]Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger:
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. CoRR abs/1604.00359 (2016) - [i2]Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger:
Biobjective Performance Assessment with the COCO Platform. CoRR abs/1605.01746 (2016) - [i1]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar:
COCO: Performance Assessment. CoRR abs/1605.03560 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-18 02:21 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
