3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.NE2023
Challenges of ELA-guided Function Evolution using Genetic Programming
Fu Xing Long, Diederick Vermetten, Anna V. Kononova +4
Within the optimization community, the question of how to generate new optimization problems has been gaining traction in recent years. Within topics such as instance space analysi…
math.OC2023★ 3 cited
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
Bas van Stein, Fu Xing Long, Moritz Frenzel +3
We propose DoE2Vec, a variational autoencoder (VAE)-based methodology to learn optimization landscape characteristics for downstream meta-learning tasks, e.g., automated selection…