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cs.NE2024
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr +1
Exploratory landscape analysis (ELA) is a well-established tool to characterize optimization problems via numerical features. ELA is used for problem comprehension, algorithm desig…
cs.NE2024
Exploratory Landscape Analysis for Mixed-Variable Problems
Raphael Patrick Prager, Heike Trautmann
Exploratory landscape analysis and fitness landscape analysis in general have been pivotal in facilitating problem understanding, algorithm design and endeavors such as automated a…
cs.NE2023★ 1 cited
Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis
Raphael Patrick Prager
Optimization is ubiquitous in our daily lives. In the past, (sub-)optimal solutions to any problem have been derived by trial and error, sheer luck, or the expertise of knowledgeab…