Ferdinando Fioretto

Learning Hard Optimization Problems: A Data Generation Perspective

2021 · arXiv (Cornell University)

Optimization problems are ubiquitous in our societies and are present in almost every segment of the economy. Most of these optimization problems are NP-hard and computationally demanding, often requiring approximate solutions for large-scale instances. Machine …

Multi-Variable Agents Decomposition for DCOPs

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

The application of DCOP models to large problems faces two main limitations: (i) Modeling limitations, as each agent can handle only a single variable of the problem; and (ii) Resolution limitations, as current approaches do …