Book
Open access
Jul 2026
Analyzing search behavior of population-based optimization algorithms using graph neural networks
This paper proposes to represent complete execution trajectories as graphs and learn their embeddings using graph neural networks and shows that the learned embeddings can effectively distinguish between algorithms even when evaluated across diverse benchmark functions.
Bartłomiej Walczak, Hubert Guzowski, Wojciech Achtelik et al.
· Annual Conference on Genetic... · 0 citations