activity
20202026
most citedDeep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems

3 citations · 5 across the 7 of their papers we have counts for

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cs.LG2022★ 1 cited

A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes

Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke +1

Exploratory Landscape Analysis is a powerful technique for numerically characterizing landscapes of single-objective continuous optimization problems. Landscape insights are crucia…