The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection
Anja Jankovič, Gorjan Popovski, Tome Eftimov, Carola Doerr · Proceedings of the Genetic and Evolutionary Computation Conference · 2021
Automated algorithm selection and configuration methods that build on exploratory landscape analysis (ELA) are becoming very popular in Evolutionary Computation. However, despite a significantly growing number of applications, the underlying machine learning models are often chosen in an ad-hoc manner.