4 citations · 6 across the 3 of their papers we have counts for
6 papers
Convergence and error estimates for time-discrete consensus-based optimization algorithms
Seug-Yeal Ha, Shi Jin, Doheon Kim
We present convergence and error estimates of the time-discrete consensus-based optimization(CBO) algorithms proposed in [arXiv:1909.09249] for general nonconvex functions. In auth…
Emergence of stochastic flocking for the discrete Cucker-Smale model with randomly switching topologies
Jiu-Gang Dong, Seung-Yeal Ha, Jinwook Jung +1
We study emergent dynamics of the discrete Cucker-Smale (in short, DCS) model with randomly switching network topologies. For this, we provide a sufficient framework leading to the…
On the stochastic flocking of the Cucker-Smale flock with randomly switching topologies
Jiu-Gang Dong, Seung-Yeal Ha, Jinwook Jung +1
We present an emergent stochastic flocking dynamics of the Cucker-Smale (CS) ensemble under randomly switching topologies. The evolution of the CS ensemble with randomly switching…
Convergence of a first-order consensus-based global optimization algorithm
Seung-Yeal Ha, Shi Jin, Doheon Kim
Global optimization of a non-convex objective function often appears in large-scale machine-learning and artificial intelligence applications. Recently, consensus-based optimizatio…
Emergent behaviors of continuous and discrete thermomechanical Cucker-Smale models on general digraphs
Jiu-Gang Dong, Seung-Yeal Ha, Doheon Kim
We present emergent dynamics of continuous and discrete thermomechanical Cucker-Smale(TCS) models equipped with temperature as an extra observable on general digraph. In previous l…
Interplay of time-delay and velocity alignment in the Cucker-Smale model on a general digraph
Jiu-Gang Dong, Seung-Yeal Ha, Doheon Kim
We study dynamic interplay between time-delay and velocity alignment in the ensemble of Cucker-Smale (C-S) particles(or agents) on time-varying networks which are modeled by digrap…