Consensus based optimization

Consensus-based optimization (CBO) is a multi-agent derivative-free optimization method, designed to obtain solutions for global optimization problems of the form min x ∈ X f ( x ) , {\displaystyle \min _{x\in {\cal {X}}}f(x),} where f : X → R {\displaystyle f:{\mathcal {X}}\to \mathbb {R} } denotes the objective function acting on the state space X {\displaystyle {\cal {X}}} , which is assumed to be a normed vector space. The function f {\displaystyle f} can potentially be nonconvex and nonsmooth.

Source: Wikipedia — Consensus based optimization (CC BY-SA 4.0)