  This paper investigates how to use a metaheuristic based technique, namely
Particle Swarm Optimization (PSO), in carrying out of Interference Alignment
(IA) for $K$-User MIMO Interference Channel (IC). Despite its increasing
popularity, mainly in wireless communications, IA lacks of explicit and
straightforward design procedures. Indeed, IA design results in complex
optimization tasks involving a large amount of decision variables, together
with a problem of convergence of the IA solutions. In this paper the IA
optimization is performed using PSO and Cooperative PSO (CPSO) more suitable
for large scale optimization, a comparison between the two versions is also
carried out. This approach seems to be promising.
