Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Weak convergence of particle swarm optimization   Particle swarm optimization algorithm is a stochastic meta-heuristic solving
global optimization problems appreciated for its efficacity and simplicity. It
consists in a swarm of particles interacting among themselves and searching the
global optimum. The trajectory of the particles has been well-studied in a
deterministic case and more recently in a stochastic context. Assuming the
convergence of PSO, we proposed here two CLT for the particles corresponding to
two kinds of convergence behavior. These results can lead to build confidence
intervals around the local minimum found by the swarm or to the evaluation of
the risk. A simulation study confirms these properties.

37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga