Urban Skvorc

Orcid: 0000-0002-7032-1489

According to our database1, Urban Skvorc authored at least 11 papers between 2019 and 2023.

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Bibliography

2023
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
A complementarity analysis of the COCO benchmark problems and artificially generated problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis.
Appl. Soft Comput., 2020

Using exploratory landscape analysis to visualize single-objective problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Deep statistics: more robust performance statistics for single-objective optimization benchmarking.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
GECCO black-box optimization competitions: progress from 2009 to 2018.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019


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