A study of the classical consensus‑based optimization model

Speaker: 黄辉教授（湖南大学）

Title: A study of the classical consensus‑based optimization model

Language: Chinese 

Time & Venue: 2026 年5月12日10:30–11:30 南楼620

Abstract: Consensus‑based optimization (CBO) is a relatively recent class of particlebased methods for global optimization, inspired by collective behavior in nature and rooted in stochastic dynamics. In this talk, we introduce the classical CBO model, where a swarm of agents iteratively updates their positions under the influence of attraction to a weighted consensus point and random perturbations. We present the mathematical formulation of the CBO model and discuss its key features. In particular, we shall establish its global convergence in mean‑field law toward the global minimizer of a given objective function under suitable assumptions.