A Parallel Particle Swarm Optimization Approach to Designing Frequency Selective Surfaces

The particle swarm optimization (PSO) is a powerful and robust method, useful for global optimization problems in a wide variety of applications. This computational paradigm has been introduced by Kennedy and Eberhart and its model is directly related to the organization and behavior of animals which live in groups such as flock of birds or swarm of insects. The set of particles that forms the swarm represents a pool of solutions for the proposed optimization problem