3 papers
math.OC2026
Superlinear drift in consensus-based optimization with condensation phenomena
Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella
Consensus-based optimization (CBO) is a class of metaheuristic algorithms designed for global optimization problems. In the many-particle limit, classical CBO dynamics can be rigor…
math.OC2026
Optimal control of a kinetic model describing social interactions on a graph
Jonathan Franceschi, Nadia Loy
In this paper we introduce the optimal control of a kinetic model describing agents who migrate on a graph and interact within its nodes exchanging a physical quantity. As a protot…
physics.soc-ph2025
Emerging properties of the degree distribution in large non-growing networks
Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella
The degree distribution is a key statistical indicator in network theory, often used to understand how information spreads across connected nodes. In this paper, we focus on non-gr…