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Found 4 papers, 1 papers with code
Exploratory Landscape Analysis for Mixed-Variable Problems
We provide a comprehensive juxtaposition of the results based on these different techniques.
Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis
This is done by delegating the selection of a suitable algorithm for a given problem to a complex computer model.
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
We identify a subset of BBOB problems that are close to the HPO problems in ELA feature space and show that optimizer performance is comparably similar on these two sets of benchmark problems.
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
The quality of our approaches is on par with methods relying on the traditional landscape features.
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