7 citations · 7 across the 2 of their papers we have counts for
3 papers
math.OC2023★ 7 cited
Consensus based optimization with memory effects: random selection and applications
Giacomo Borghi, Sara Grassi, Lorenzo Pareschi
In this work we extend the class of Consensus-Based Optimization (CBO) metaheuristic methods by considering memory effects and a random selection strategy. The proposed algorithm i…
math.OC2021
Mean-field particle swarm optimization
Sara Grassi, Hui Huang, Lorenzo Pareschi +1
In this work we survey some recent results on the global minimization of a non-convex and possibly non-smooth high dimensional objective function by means of particle based gradien…
math.NA2020
From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit
Sara Grassi, Lorenzo Pareschi
In this paper we consider a continuous description based on stochastic differential equations of the popular particle swarm optimization (PSO) process for solving global optimizati…