Differential Evolution versus Genetic Algorithms in Multiobjective Optimization. - Tea Tusar; Bogdan Filipic (EMO, 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)

Preliminary Numerical Experiments in Multiobjective Optimization of a Metallurgical Production Process. - Bogdan Filipic; Erkki Laitinen; Tea Tusar (Informatica (Slovenia), 2007)

Intelligent High-Security Access Control. - Matjaz Gams; Tea Tusar (Informatica (Slovenia), 2007)

Agent-Based Security System for User Verification. - Erik Dovgan; Bostjan Kaluza; Tea Tusar; Matjaz Gams (Web Intelligence/IAT Workshops, 2009)

Analysis of Automatic Stress Assignment in Slovene. - Domen Marincic; Tea Tusar; Matjaz Gams; Tomaz Sef (Informatica, 2009)

Parameter tuning in an evolutionary algorithm for commodity transportation optimization. - Erik Dovgan; Tea Tusar; Bogdan Filipic (IEEE Congress on Evolutionary Computation, 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)

Visualizing 4D approximation sets of multiobjective optimizers with prosections. - Tea Tusar; Bogdan Filipic (GECCO, 2011)

A probabilistic risk analysis for multimodal entry control. - Bostjan Kaluza; Erik Dovgan; Tea Tusar; Milind Tambe; Matjaz Gams (Expert Syst. Appl., 2011)

Evolutionary scheduling of flexible offers for balancing electricity supply and demand. - Tea Tusar; Erik Dovgan; Bogdan Filipic (IEEE Congress on Evolutionary Computation, 2012)

Data management in the MIRABEL smart grid system. - Matthias Böhm 001; Lars Dannecker; Andreas Doms; Erik Dovgan; Bogdan Filipic; Ulrike Fischer; Wolfgang Lehner; Torben Bach Pedersen; Yoann Pitarch; Laurynas Siksnys; Tea Tusar (EDBT/ICDT Workshops, 2012)

Discrete vs. continuous multiobjective optimization of continuous casting of steel. - Miha Mlakar; Tea Tusar; Bogdan Filipic (GECCO (Companion), 2012)

Discovering Comfortable Driving Strategies Using Simulation-Based Multiobjective Optimization. - Erik Dovgan; Tea Tusar; Matija Javorski; Bogdan Filipic (Informatica (Slovenia), 2012)

Challenges of applying optimization methodology in industry. - Bogdan Filipic; Tea Tusar (GECCO (Companion), 2013)

An approach to visualizing the 3D empirical attainment function. - Tea Tusar; Bogdan Filipic (GECCO (Companion), 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)

Initial experiments in visualization of empirical attainment function differences using maximum intensity projection. - Tea Tusar; Bogdan Filipic (GECCO (Companion), 2014)

Discovering driving strategies with a multiobjective optimization algorithm. - Erik Dovgan; Matija Javorski; Tea Tusar; Matjaz Gams; Bogdan Filipic (Appl. Soft Comput., 2014)

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)

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)

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 001 (GECCO (Companion), 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 001 (GECCO (Companion), 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 001 (GECCO (Companion), 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 001 (GECCO (Companion), 2016)

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. - Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Dejan Tusar; Tea Tusar; Tobias Wagner 001 (GECCO (Companion), 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 001 (GECCO (Companion), 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 (GECCO (Companion), 2016)

Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite. - Tea Tusar; Bogdan Filipic (GECCO (Companion), 2016)

Biobjective Performance Assessment with the COCO Platform. - Dimo Brockhoff; Tea Tusar; Dejan Tusar; Tobias Wagner 001; Nikolaus Hansen; Anne Auger (CoRR, 2016)

COCO: Performance Assessment. - Nikolaus Hansen; Anne Auger; Dimo Brockhoff; Dejan Tusar; Tea Tusar (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: The Experimental Procedure. - Nikolaus Hansen; Tea Tusar; Olaf Mersmann; Anne Auger; Dimo Brockhoff (CoRR, 2016)

COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. - Tea Tusar; Dimo Brockhoff; Nikolaus Hansen; Anne Auger (CoRR, 2016)

Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. - Dimo Brockhoff; Anne Auger; Nikolaus Hansen; Tea Tusar (EMO, 2017)

The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity. - Eric Medvet; Tea Tusar (GECCO (Companion), 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)

A taxonomy of methods for visualizing pareto front approximations. - Bogdan Filipic; Tea Tusar (GECCO, 2018)

Comparing black-box differential evolution and classic differential evolution. - Aljosa Vodopija; Tea Tusar; Bogdan Filipic (GECCO (Companion), 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)

Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. - Dimo Brockhoff; Tea Tusar (GECCO (Companion), 2019)

Visualization in multiobjective optimization. - Bogdan Filipic; Tea Tusar (GECCO (Companion), 2019)

An analysis of dimensionality reduction techniques for visualizing evolution. - Andrea De Lorenzo; Eric Medvet; Tea Tusar; Alberto Bartoli (GECCO (Companion), 2019)

Mixed-integer benchmark problems for single- and bi-objective optimization. - Tea Tusar; Dimo Brockhoff; Nikolaus Hansen (GECCO, 2019)

Single- and multi-objective game-benchmark for evolutionary algorithms. - Vanessa Volz; Boris Naujoks; Pascal Kerschke; Tea Tusar (GECCO, 2019)

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. - Ouassim Ait ElHara; Konstantinos Varelas; Duc Manh Nguyen 001; Tea Tusar; Dimo Brockhoff; Nikolaus Hansen; Anne Auger (CoRR, 2019)

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 (GECCO Companion, 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 001; Tea Tusar; Anne Auger (Appl. Soft Comput., 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)

Optimization and Visualization in Many-Objective Space Trajectory Design. - Hernán E. Aguirre; Kiyoshi Tanaka; Tea Tusar; Bogdan Filipic (High-Performance Simulation-Based Optimization, 2020)

Open Issues in Surrogate-Assisted Optimization. - Jörg Stork; Martina Friese; Martin Zaefferer; Thomas Bartz-Beielstein; Andreas Fischbach; Beate Breiderhoff; Boris Naujoks; Tea Tusar (High-Performance Simulation-Based Optimization, 2020)

Benchmarking multiobjective optimizers 2.0. - Dimo Brockhoff; Tea Tusar (GECCO Companion, 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)

Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. - Pavel Krömer; Vojtech Uher; Andrejaana Andova; Tea Tusar; Bogdan Filipic (CSCI, 2022)

GECCO 2022 tutorial on benchmarking multiobjective optimizers 2.0. - Dimo Brockhoff; Tea Tusar (GECCO Companion, 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)

Characterization of constrained continuous multiobjective optimization problems: A feature space perspective. - Aljosa Vodopija; Tea Tusar; Bogdan Filipic (Inf. Sci., 2022)

Anytime Performance Assessment in Blackbox Optimization Benchmarking. - Nikolaus Hansen; Anne Auger; Dimo Brockhoff; Tea Tusar (IEEE Trans. Evol. Comput., 2022)

Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization. - Tea Tusar; Aljosa Vodopija; Bogdan Filipic (EMO, 2023)

Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes. - Andrejaana Andova; Tobias Benecke; Harald Ludwig; Tea Tusar (EvoApplications@EvoStar, 2023)

GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0. - Dimo Brockhoff; Tea Tusar (GECCO Companion, 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 (Many-Criteria Optimization and Decision Analysis, 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., 2023)

Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack. - Andrejaana Andova; Jordan N. Cork; Aljosa Vodopija; Tea Tusar; Bogdan Filipic (EvoApplications@EvoStar, 2024)

On the Latent Structure of the bbob-biobj Test Suite. - Pavel Krömer; Vojtech Uher; Tea Tusar; Bogdan Filipic (EvoApplications@EvoStar, 2024)

Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems. - Andrejaana Andova; Jordan N. Cork; Tea Tusar; Bogdan Filipic (GECCO, 2024)

Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study. - Ane Espeseth; Martin Jurícek; Harald Ludwig; Tea Tusar (EvoApplications (2), 2025)

Using Local Correlation Between Objectives to Detect Problem Modality. - Tea Tusar; Jordan N. Cork (EvoApplications (2), 2025)

On the Pareto Set and Front of Multiobjective Spherical Functions with Convex Constraints. - Anne Auger; Dimo Brockhoff; Jordan N. Cork; Tea Tusar (GECCO, 2025)

Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective. - Aljosa Vodopija; Tea Tusar; Bogdan Filipic (IEEE Trans. Evol. Comput., 2025)