43 citations · 98 across the 13 of their papers we have counts for
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Personalizing Performance Regression Models to Black-Box Optimization Problems
Tome Eftimov, Anja Jankovic, Gorjan Popovski +2
Accurately predicting the performance of different optimization algorithms for previously unseen problem instances is crucial for high-performing algorithm selection and configurat…
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection
Anja Jankovic, Gorjan Popovski, Tome Eftimov +1
Automated algorithm selection and configuration methods that build on exploratory landscape analysis (ELA) are becoming very popular in Evolutionary Computation. However, despite a…
Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovic, Tome Eftimov, Carola Doerr
Black-box optimization is a very active area of research, with many new algorithms being developed every year. This variety is needed, on the one hand, since different algorithms a…