Tea Tusar

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 50

Top Topics

Gaussian Process

Optimisation Problems

Multiobjective Optimization

Top Venues

GECCO (Companion)

GECCO Companion

Publications

Pavel Krömer, Vojtech Uher, Tea Tusar, Bogdan Filipic
On the Latent Structure of the bbob-biobj Test Suite. EvoApplications@EvoStar (2024)
Andrejaana Andova, Jordan N. Cork, Tea Tusar, Bogdan Filipic
Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems. GECCO (2024)
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)
Dimo Brockhoff, Tea Tusar
GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0. GECCO Companion (2023)
Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. CoRR (2023)
Tea Tusar, Aljosa Vodopija, Bogdan Filipic
Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization. EMO (2023)
Aljosa Vodopija, Tea Tusar, Bogdan Filipic
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective. CoRR (2023)
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 (2023)
Pavel Krömer, Vojtech Uher, Andrejaana Andova, Tea Tusar, Bogdan Filipic
Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. CSCI (2022)
Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar
Anytime Performance Assessment in Blackbox Optimization Benchmarking. IEEE Trans. Evol. Comput. 26 (6) (2022)
Dimo Brockhoff, Tea Tusar
GECCO 2022 tutorial on benchmarking multiobjective optimizers 2.0. GECCO Companion (2022)
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) (2022)
Aljosa Vodopija, Tea Tusar, Bogdan Filipic
Characterization of constrained continuous multiobjective optimization problems: A feature space perspective. Inf. Sci. 607 (2022)
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) (2021)
Aljosa Vodopija, Tea Tusar, Bogdan Filipic
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective. CoRR (2021)
Dimo Brockhoff, Tea Tusar
Benchmarking multiobjective optimizers 2.0. GECCO Companion (2021)
Bogdan Filipic, Tea Tusar
Visualization in multiobjective optimization. GECCO Companion (2020)
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 (2020)
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) (2020)
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)
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 (2020)
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 (2019)
Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar
Single- and multi-objective game-benchmark for evolutionary algorithms. GECCO (2019)
Andrea De Lorenzo, Eric Medvet, Tea Tusar, Alberto Bartoli
An analysis of dimensionality reduction techniques for visualizing evolution. GECCO (Companion) (2019)
Bogdan Filipic, Tea Tusar
Visualization in multiobjective optimization. GECCO (Companion) (2019)
Tea Tusar, Dimo Brockhoff, Nikolaus Hansen
Mixed-integer benchmark problems for single- and bi-objective optimization. GECCO (2019)
Dimo Brockhoff, Tea Tusar
Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. GECCO (Companion) (2019)
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) (2018)
Bogdan Filipic, Tea Tusar
A taxonomy of methods for visualizing pareto front approximations. GECCO (2018)
Aljosa Vodopija, Tea Tusar, Bogdan Filipic
Comparing black-box differential evolution and classic differential evolution. GECCO (Companion) (2018)
Bogdan Filipic, Tea Tusar
Visualization in multiobjective optimization. GECCO (Companion) (2018)
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. EMO (2017)
Eric Medvet, Tea Tusar
The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity. GECCO (Companion) (2017)
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 (2017)
Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff
COCO: The Experimental Procedure. CoRR (2016)
Bogdan Filipic, Tea Tusar
Visualization in Multiobjective Optimization. GECCO (Companion) (2016)
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)
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)
Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, A. Nur Zincir-Heywood
Women@GECCO 2016 Chairs' Welcome. GECCO (Companion) (2016)
Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar
COCO: Performance Assessment. CoRR (2016)
Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger
Biobjective Performance Assessment with the COCO Platform. CoRR (2016)
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)
Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. CoRR (2016)
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)
Tea Tusar, Bogdan Filipic
Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite. GECCO (Companion) (2016)
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)
Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. CoRR (2016)
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)
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) (2015)
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) (2015)
Tea Tusar, Bogdan Filipic
Initial experiments in visualization of empirical attainment function differences using maximum intensity projection. GECCO (Companion) (2014)
Erik Dovgan, Matija Javorski, Tea Tusar, Matjaz Gams, Bogdan Filipic
Discovering driving strategies with a multiobjective optimization algorithm. Appl. Soft Comput. 16 (2014)
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) (2013)
Bogdan Filipic, Tea Tusar
Challenges of applying optimization methodology in industry. GECCO (Companion) (2013)
Tea Tusar, Bogdan Filipic
An approach to visualizing the 3D empirical attainment function. GECCO (Companion) (2013)
Andrejaana Andova, Tobias Benecke, Harald Ludwig, Tea Tusar
Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes. EvoApplications@EvoStar (2013)
Miha Mlakar, Tea Tusar, Bogdan Filipic
Discrete vs. continuous multiobjective optimization of continuous casting of steel. GECCO (Companion) (2012)
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)
Erik Dovgan, Tea Tusar, Matija Javorski, Bogdan Filipic
Discovering Comfortable Driving Strategies Using Simulation-Based Multiobjective Optimization. Informatica (Slovenia) 36 (3) (2012)
Tea Tusar, Erik Dovgan, Bogdan Filipic
Evolutionary scheduling of flexible offers for balancing electricity supply and demand. IEEE Congress on Evolutionary Computation (2012)
Tea Tusar, Bogdan Filipic
Visualizing 4D approximation sets of multiobjective optimizers with prosections. GECCO (2011)
Bostjan Kaluza, Erik Dovgan, Tea Tusar, Milind Tambe, Matjaz Gams
A probabilistic risk analysis for multimodal entry control. Expert Syst. Appl. 38 (6) (2011)
Erik Dovgan, Tea Tusar, Bogdan Filipic
Parameter tuning in an evolutionary algorithm for commodity transportation optimization. IEEE Congress on Evolutionary Computation (2010)
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) (2010)
Domen Marincic, Tea Tusar, Matjaz Gams, Tomaz Sef
Analysis of Automatic Stress Assignment in Slovene. Informatica 20 (1) (2009)
Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gams
Agent-Based Security System for User Verification. Web Intelligence/IAT Workshops (2009)
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) (2007)
Bogdan Filipic, Erkki Laitinen, Tea Tusar
Preliminary Numerical Experiments in Multiobjective Optimization of a Metallurgical Production Process. Informatica (Slovenia) 31 (2) (2007)
Matjaz Gams, Tea Tusar
Intelligent High-Security Access Control. Informatica (Slovenia) 31 (4) (2007)
Tea Tusar, Bogdan Filipic
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization. EMO (2006)