9 citations · 10 across the 11 of their papers we have counts for
3 papers · 1 filter
Collective Annealing by Switching Temperatures: a Boltzmann-type description
Frédéric Blondeel, Lorenzo Pareschi, Giovanni Samaey
The design of effective cooling strategies is a crucial component in simulated annealing algorithms based on the Metropolis method. Traditionally, this is achieved through inverse…
Swarm-based optimization with jumps: a kinetic BGK framework and convergence analysis
Giacomo Borghi, Hyesung Im, Lorenzo Pareschi
Metaheuristic algorithms are powerful tools for global optimization, particularly for non-convex and non-differentiable problems where exact methods are often impractical. Particle…
Constrained consensus-based optimization
Giacomo Borghi, Michael Herty, Lorenzo Pareschi
In this work we are interested in the construction of numerical methods for high dimensional constrained nonlinear optimization problems by particle-based gradient-free techniques.…