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Home/Authors/Anja Jankovic

Anja Jankovic

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Neural Computing×2Comp. Eng.×1AI×1Symbolic×1

Frequent co-authors

Iván Olarte Rodríguez1×
Thomas Bäck1×
Elena Raponi1×
Duy Long Tran1×
Marie Anastacio1×
Holger Hoos1×

Research Timeline

2026
Improving Evaluation of Recombination-based Cartesian Genetic Programming

This paper demonstrates that optimizing hyperparameters for two specific recombination operators can significantly improve the performance of Cartesian Genetic Programming, which traditionally relies only on mutation.

Sampling on Random Subspaces under Limited Data in the Context of Exploratory Landscape Analysis

This paper proposes a new sampling strategy for Exploratory Landscape Analysis using random linear embeddings to improve the robustness of landscape descriptors when budgets are limited.

Highlighted terms show continued research focus across papers

Papers

cs.NEcs.CEEmpiricalRecentJul 8, 2026

Sampling on Random Subspaces under Limited Data in the Context of Exploratory Landscape Analysis

Iván Olarte Rodríguez, Anja Jankovic, Thomas Bäck, Elena Raponi

This paper proposes a new sampling strategy for Exploratory Landscape Analysis using random linear embeddings to improve the robustness of landscape descriptors when budgets are limited.

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cs.NEcs.AIcs.SCRecent
May 27, 2026

Improving Evaluation of Recombination-based Cartesian Genetic Programming

Duy Long Tran, Anja Jankovic, Marie Anastacio, Holger Hoos +1 more

This paper demonstrates that optimizing hyperparameters for two specific recombination operators can significantly improve the performance of Cartesian Genetic Programming, which traditionally relies…

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