1 citations · 2 across the 8 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
math.OC2022★ 1 cited
Polynomial Optimization: Enhancing RLT relaxations with Conic Constraints
Brais González-Rodríguez, Raúl Alvite-Pazó, Samuel Alvite-Pazó +2
Conic optimization has recently emerged as a powerful tool for designing tractable and guaranteed algorithms for non-convex polynomial optimization problems. On the one hand, tract…
math.OC2022★ 1 cited
Learning for Spatial Branching: An Algorithm Selection Approach
Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz +3
The use of machine learning techniques to improve the performance of branch-and-bound optimization algorithms is a very active area in the context of mixed integer linear problems,…