Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Achieving Social Optimum in Non-convex Cooperative Aggregative Games: A
  Distributed Stochastic Annealing Approach   This paper designs a distributed stochastic annealing algorithm for
non-convex cooperative aggregative games, whose agents' cost functions not only
depend on agents' own decision variables but also rely on the sum of agents'
decision variables. To seek the the social optimum of cooperative aggregative
games, a distributed stochastic annealing algorithm is proposed, where the
local cost functions are non-convex and the communication topology between
agents is time varying. The weak convergence to the social optimum of the
algorithm is further analyzed. A numerical example is given to illustrate the
effectiveness of the proposed algorithm.

29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org