10 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
A continuous-time limit for particle swarm optimization
Pascal Bianchi, Radu Dragomir, Radu-Alexandru Dragomir +1
Particle swarm optimization (PSO) is a popular class of gradient-free methods for global optimization. We study a continuous-time model for momentum-free PSO with personal-best mem…
Consensus-Based Optimization Beyond Finite-Time Analysis
Pascal Bianchi, Radu-Alexandru Dragomir, Victor Priser
We analyze a zeroth-order particle algorithm for the global optimization of a non-convex function, focusing on a variant of Consensus-Based Optimization (CBO) with small but fixed…
Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance
A. Barakat, P. Bianchi, W. Hachem +1
In this paper, a general stochastic optimization procedure is studied, unifying several variants of the stochastic gradient descent such as, among others, the stochastic heavy ball…