Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi Objective Particle Swarm Optimization based Cooperative Agents
  with Automated Negotiation   This paper investigates a new hybridization of multi-objective particle swarm
optimization (MOPSO) and cooperative agents (MOPSO-CA) to handle the problem of
stagnation encounters in MOPSO, which leads solutions to trap in local optima.
The proposed approach involves a new distribution strategy based on the idea of
having a set of a sub-population, each of which is processed by one agent. The
number of the sub-population and agents are adjusted dynamically through the
Pareto ranking. This method allocates a dynamic number of sub-population as
required to improve diversity in the search space. Additionally, agents are
used for better management for the exploitation within a sub-population, and
for exploration among sub-populations. Furthermore, we investigate the
automated negotiation within agents in order to share the best knowledge. To
validate our approach, several benchmarks are performed. The results show that
the introduced variant ensures the trade-off between the exploitation and
exploration with respect to the comparative algorithms

33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg
2
The categories of this paper are: math