Tea Tusar

According to our database, Tea Tusar authored at least 67 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems.

Andrejaana Andova, Jordan N. Cork, Tea Tusar, Bogdan Filipic

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

On the Latent Structure of the bbob-biobj Test Suite.

Pavel Krömer, Vojtech Uher, Tea Tusar, Bogdan Filipic

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack.

Andrejaana Andova, Jordan N. Cork, Aljosa Vodopija, Tea Tusar, Bogdan Filipic

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games.

Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar

Appl. Soft Comput., March, 2023

Identifying Properties of Real-World Optimisation Problems Through a Questionnaire.

Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar

Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective.

Aljosa Vodopija, Tea Tusar, Bogdan Filipic

CoRR, 2023

GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0.

Dimo Brockhoff, Tea Tusar

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes.

Andrejaana Andova, Tobias Benecke, Harald Ludwig, Tea Tusar

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization.

Tea Tusar, Aljosa Vodopija, Bogdan Filipic

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

Anytime Performance Assessment in Blackbox Optimization Benchmarking.

Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar

IEEE Trans. Evol. Comput., 2022

Characterization of constrained continuous multiobjective optimization problems: A feature space perspective.

Aljosa Vodopija, Tea Tusar, Bogdan Filipic

Inf. Sci., 2022

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites.

Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar

Evol. Comput., 2022

GECCO 2022 tutorial on benchmarking multiobjective optimizers 2.0.

Dimo Brockhoff, Tea Tusar

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems.

Pavel Krömer, Vojtech Uher, Andrejaana Andova, Tea Tusar, Bogdan Filipic

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

COCO: a platform for comparing continuous optimizers in a black-box setting.

Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, Dimo Brockhoff

Optim. Methods Softw., 2021

Benchmarking multiobjective optimizers 2.0.

Dimo Brockhoff, Tea Tusar

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Open Issues in Surrogate-Assisted Optimization.

Jörg Stork, Martina Friese, Martin Zaefferer, Thomas Bartz-Beielstein, Andreas Fischbach, Beate Breiderhoff, Boris Naujoks, Tea Tusar

Proceedings of the High-Performance Simulation-Based Optimization, 2020

Optimization and Visualization in Many-Objective Space Trajectory Design.

Hernán E. Aguirre, Kiyoshi Tanaka, Tea Tusar, Bogdan Filipic

Proceedings of the High-Performance Simulation-Based Optimization, 2020

Identifying Properties of Real-World Optimisation Problems through a Questionnaire.

Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar

CoRR, 2020

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond.

Konstantinos Varelas, Ouassim Ait ElHara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, Tea Tusar, Anne Auger

Appl. Soft Comput., 2020

Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems.

Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite.

Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger

CoRR, 2019

Single- and multi-objective game-benchmark for evolutionary algorithms.

Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Mixed-integer benchmark problems for single- and bi-objective optimization.

Tea Tusar, Dimo Brockhoff, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

An analysis of dimensionality reduction techniques for visualizing evolution.

Andrea De Lorenzo, Eric Medvet, Tea Tusar, Alberto Bartoli

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Visualization in multiobjective optimization.

Bogdan Filipic, Tea Tusar

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed.

Dimo Brockhoff, Tea Tusar

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Unveiling evolutionary algorithm representation with DU maps.

Eric Medvet, Marco Virgolin, Mauro Castelli, Peter A. N. Bosman, Ivo Gonçalves, Tea Tusar

Genet. Program. Evolvable Mach., 2018

Comparing black-box differential evolution and classic differential evolution.

Aljosa Vodopija, Tea Tusar, Bogdan Filipic

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A taxonomy of methods for visualizing pareto front approximations.

Bogdan Filipic, Tea Tusar

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

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

Tea Tusar, Klemen Gantar, Valentin Koblar, Bernard Zenko, Bogdan Filipic

Appl. Soft Comput., 2017

The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity.

Eric Medvet, Tea Tusar

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

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

Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite.

Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger

CoRR, 2016

COCO: The Experimental Procedure.

Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff

CoRR, 2016

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting.

Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff

CoRR, 2016

COCO: Performance Assessment.

Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar

CoRR, 2016

Biobjective Performance Assessment with the COCO Platform.

Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger

CoRR, 2016

Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite.

Tea Tusar, Bogdan Filipic

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Women@GECCO 2016 Chairs' Welcome.

Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message.

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method.

Tea Tusar, Bogdan Filipic

IEEE Trans. Evol. Comput., 2015

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

Miha Mlakar, Dejan Petelin, Tea Tusar, Bogdan Filipic

Eur. J. Oper. Res., 2015

2014

Discovering driving strategies with a multiobjective optimization algorithm.

Erik Dovgan, Matija Javorski, Tea Tusar, Matjaz Gams, Bogdan Filipic

Appl. Soft Comput., 2014

Initial experiments in visualization of empirical attainment function differences using maximum intensity projection.

Tea Tusar, Bogdan Filipic

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Comparing a multiobjective optimization algorithm for discovering driving strategies with humans.

Erik Dovgan, Matija Javorski, Tea Tusar, Matjaz Gams, Bogdan Filipic

Expert Syst. Appl., 2013

An approach to visualizing the 3D empirical attainment function.

Tea Tusar, Bogdan Filipic

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Challenges of applying optimization methodology in industry.

Bogdan Filipic, Tea Tusar

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Discovering Comfortable Driving Strategies Using Simulation-Based Multiobjective Optimization.

Erik Dovgan, Tea Tusar, Matija Javorski, Bogdan Filipic

Informatica (Slovenia), 2012

Discrete vs. continuous multiobjective optimization of continuous casting of steel.

Miha Mlakar, Tea Tusar, Bogdan Filipic

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Data management in the MIRABEL smart grid system.

Matthias Böhm, Lars Dannecker, Andreas Doms, Erik Dovgan, Bogdan Filipic, Ulrike Fischer, Wolfgang Lehner, Torben Bach Pedersen, Yoann Pitarch, Laurynas Siksnys, Tea Tusar

Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

Evolutionary scheduling of flexible offers for balancing electricity supply and demand.

Tea Tusar, Erik Dovgan, Bogdan Filipic

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

A probabilistic risk analysis for multimodal entry control.

Bostjan Kaluza, Erik Dovgan, Tea Tusar, Milind Tambe, Matjaz Gams

Expert Syst. Appl., 2011

Visualizing 4D approximation sets of multiobjective optimizers with prosections.

Tea Tusar, Bogdan Filipic

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Improving user verification by implementing an agent-based security system.

Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gams

J. Ambient Intell. Smart Environ., 2010

Parameter tuning in an evolutionary algorithm for commodity transportation optimization.

Erik Dovgan, Tea Tusar, Bogdan Filipic

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Analysis of Automatic Stress Assignment in Slovene.

Domen Marincic, Tea Tusar, Matjaz Gams, Tomaz Sef

Informatica, 2009

Agent-Based Security System for User Verification.

Erik Dovgan, Bostjan Kaluza, Tea Tusar, Matjaz Gams

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

2007

Intelligent High-Security Access Control.

Matjaz Gams, Tea Tusar

Informatica (Slovenia), 2007

Preliminary Numerical Experiments in Multiobjective Optimization of a Metallurgical Production Process.

Bogdan Filipic, Erkki Laitinen, Tea Tusar

Informatica (Slovenia), 2007

A comparative study of stochastic optimization methods in electric motor design.

Tea Tusar, Peter Korosec, Gregor Papa, Bogdan Filipic, Jurij Silc

Appl. Intell., 2007

Differential Evolution versus Genetic Algorithms in Multiobjective Optimization.

Tea Tusar, Bogdan Filipic

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007