arXiv cs.NE
· Papers
MEGO: Learning Mixture-of-Experts for General-Purpose Binary Optimization
arXiv:2405.18884v2 Announce Type: replace Abstract: Discrete optimization is ubiquitous in science and engineering. The vast array of existing discrete optimization problems, coupled with the continuous emergence of new ones, necessitates off-the-shelf optimizers capable of generating high-quality solutions for a large