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cs.AI2025
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
Ana Kostovska, Carola Doerr, Sašo Džeroski +2
Automated algorithm performance prediction in numerical blackbox optimization often relies on problem characterizations, such as exploratory landscape analysis features. These feat…
cs.AI2024
A Learning Search Algorithm for the Restricted Longest Common Subsequence Problem
Marko DjukanoviÄ, Jaume Reixach, Ana Nikolikj +3
This paper addresses the Restricted Longest Common Subsequence (RLCS) problem, an extension of the well-known Longest Common Subsequence (LCS) problem. This problem has significant…