Personal information

No personal information available

Activities

Collapse all

Employment (1)

Jožef Stefan Institute: Ljubljana, SI

2004-04-01 to present | Research Associate (Department of Intelligent Systems)
Employment
Source: Self-asserted source
Tea Tušar

Education and qualifications (1)

Jožef Stefan International Postgraduate School: Ljubljana, SI

2011 to 2014 | PhD in Information and Communication Technologies
Education
Source: Self-asserted source
Tea Tušar

Works (30)

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

IEEE Transactions on Evolutionary Computation
2025-02 | Journal article
DOI: 10.1109/TEVC.2024.3366659
Contributors: Aljoša Vodopija; Tea Tušar; Bogdan Filipič
Source: check_circle
Crossref

On the Latent Structure of the bbob-biobj Test Suite

2024 | Book chapter
DOI: 10.1007/978-3-031-56855-8_20
Contributors: Pavel Krömer; Vojtěch Uher; Tea Tušar; Bogdan Filipič
Source: check_circle
Crossref

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

2024 | Book chapter
DOI: 10.1007/978-3-031-56855-8_19
Contributors: Andrejaana Andova; Jordan N. Cork; Aljoša Vodopija; Tea Tušar; Bogdan Filipič
Source: check_circle
Crossref

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

2024-07-14 | Conference paper
DOI: 10.1145/3638529.3654098
Contributors: Andrejaana Andova; Jordan N. Cork; Tea Tušar; Bogdan Filipič
Source: check_circle
Crossref

Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization

2023 | Book chapter
DOI: 10.1007/978-3-031-27250-9_1
Contributors: Tea Tušar; Aljoša Vodopija; Bogdan Filipič
Source: check_circle
Crossref

GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0

2023-07-15 | Conference paper
DOI: 10.1145/3583133.3595060
Contributors: Dimo Brockhoff; Tea Tušar
Source: check_circle
Crossref

Anytime Performance Assessment in Blackbox Optimization Benchmarking

IEEE Transactions on Evolutionary Computation
2022-12 | Journal article
DOI: 10.1109/TEVC.2022.3210897
Contributors: Nikolaus Hansen; Anne Auger; Dimo Brockhoff; Tea Tusar
Source: check_circle
Crossref

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

Evolutionary Computation
2021-10-25 | Journal article
DOI: 10.1162/evco_a_00298
Part of ISSN: 1530-9304
Source: Self-asserted source
Tea Tušar

Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective

2021-09-09 | Preprint
ARXIV: arXiv:2109.04564v1
Source: Self-asserted source
Tea Tušar

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

Applied Soft Computing
2020-12 | Journal article
DOI: 10.1016/j.asoc.2020.106737
Part of ISSN: 1568-4946
Source: Self-asserted source
Tea Tušar
grade
Preferred source (of 2)‎

Identifying Properties of Real-World Optimisation Problems through a Questionnaire

2020-11-11 | Preprint
ARXIV: arXiv:2011.05547v2
Source: Self-asserted source
Tea Tušar

Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems

2020-04-14 | Preprint
DOI: 10.1145/3377929.3389974
ARXIV: arXiv:2004.06395v1
Source: Self-asserted source
Tea Tušar

An analysis of dimensionality reduction techniques for visualizing evolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion
2019-07-13 | Conference paper
DOI: 10.1145/3319619.3326868
Source: Self-asserted source
Tea Tušar

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

Proceedings of the Genetic and Evolutionary Computation Conference
2019-07-13 | Conference paper
DOI: 10.1145/3321707.3321868
Source: Self-asserted source
Tea Tušar

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

Proceedings of the Genetic and Evolutionary Computation Conference
2019-07-13 | Conference paper
DOI: 10.1145/3321707.3321805
Source: Self-asserted source
Tea Tušar

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

2019-03-15 | Preprint
ARXIV: arXiv:1903.06396v2
Source: Self-asserted source
Tea Tušar

Unveiling evolutionary algorithm representation with DU maps

Genetic Programming and Evolvable Machines
2018-09 | Journal article
DOI: 10.1007/s10710-018-9332-5
Part of ISSN: 1389-2576
Part of ISSN: 1573-7632
Source: Self-asserted source
Tea Tušar

A taxonomy of methods for visualizing pareto front approximations

Proceedings of the Genetic and Evolutionary Computation Conference
2018-07-02 | Conference paper
DOI: 10.1145/3205455.3205607
Source: Self-asserted source
Tea Tušar

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

Applied Soft Computing
2017-10 | Journal article
DOI: 10.1016/j.asoc.2017.05.027
Part of ISSN: 1568-4946
Source: Self-asserted source
Tea Tušar
grade
Preferred source (of 2)‎

COCO: Performance Assessment

2016-05-11 | Preprint
ARXIV: arXiv:1605.03560v1
Source: Self-asserted source
Tea Tušar

Biobjective Performance Assessment with the COCO Platform

2016-05-05 | Preprint
ARXIV: arXiv:1605.01746v1
Source: Self-asserted source
Tea Tušar

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Source: Self-asserted source
Tea Tušar
grade
Preferred source (of 2)‎

COCO: The Experimental Procedure

2016-03-29 | Preprint
ARXIV: arXiv:1603.08776v2
Source: Self-asserted source
Tea Tušar

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

European Journal of Operational Research
2015-06 | Journal article
DOI: 10.1016/j.ejor.2014.04.011
Part of ISSN: 0377-2217
Source: Self-asserted source
Tea Tušar

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

IEEE Transactions on Evolutionary Computation
2015-04 | Journal article
DOI: 10.1109/tevc.2014.2313407
Part of ISSN: 1089-778X
Part of ISSN: 1089-778X
Part of ISSN: 1941-0026
Source: Self-asserted source
Tea Tušar
grade
Preferred source (of 2)‎

Comparing Solutions under Uncertainty in Multiobjective Optimization

Mathematical Problems in Engineering
2014 | Journal article
DOI: 10.1155/2014/817964
Part of ISSN: 1024-123X
Part of ISSN: 1563-5147
Source: Self-asserted source
Tea Tušar

Visualizing Exact and Approximated 3D Empirical Attainment Functions

Mathematical Problems in Engineering
2014 | Journal article
DOI: 10.1155/2014/569346
Part of ISSN: 1024-123X
Part of ISSN: 1563-5147
Source: Self-asserted source
Tea Tušar
grade
Preferred source (of 2)‎

Discovering driving strategies with a multiobjective optimization algorithm

Applied Soft Computing
2014-03 | Journal article
DOI: 10.1016/j.asoc.2013.11.014
Part of ISSN: 1568-4946
Source: Self-asserted source
Tea Tušar

Comparing a multiobjective optimization algorithm for discovering driving strategies with humans

Expert Systems with Applications
2013-06 | Journal article
DOI: 10.1016/j.eswa.2012.11.006
Part of ISSN: 0957-4174
Source: Self-asserted source
Tea Tušar

A probabilistic risk analysis for multimodal entry control

Expert Systems with Applications
2011-06 | Journal article
DOI: 10.1016/j.eswa.2010.11.065
Part of ISSN: 0957-4174
Source: Self-asserted source
Tea Tušar

Peer review (8 reviews for 5 publications/grants)

Review activity for Complex & intelligent systems. (1)
Review activity for Computers & operations research. (1)
Review activity for Information sciences. (1)
Review activity for Journal of global optimization. (1)
Review activity for Swarm and evolutionary computation. (4)
How many people are using ORCID?