4 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
A unified framework for distributed optimization algorithms over time-varying directed graphs
Woocheol Choi, Doheon Kim, Seok-Bae Yun
In this paper, we propose a framework under which the decentralized optimization algorithms suggested in \cite{JKJJ,MA, NO,NO2} can be treated in a unified manner. More precisely,…
Convergence analysis of the discrete consensus-based optimization algorithm with random batch interactions and heterogeneous noises
Dongnam Ko, Seung-Yeal Ha, Shi Jin +1
We present stochastic consensus and convergence of the discrete consensus-based optimization (CBO) algorithm with random batch interactions and heterogeneous external noises. Despi…
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…
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…