Particle Swarm Optimization (PSO), a robust stochastic evolutionary computational technique, has been here successfully applied to different electromagnetic optimization problems. In order to fulfill the requirement of fast convergence to get results in a very short time, a variation of original method has been proposed using the so called differentiated Meta-PSO. This paper presents the effectiveness of Meta-PSO technique in optimizing complex multidimensional problem relating to antenna engineering design implementation. To verify the robustness of this optimization tool and develop a full wave analysis, all these concepts are integrated into a case study represented by a rectangular ring antenna with proximity-coupled microstrip feed line.
Differentiated Meta-PSO for rectangular ring antenna with proximity-coupled feed
MUSSETTA, MARCO;GRIMACCIA, FRANCESCO;ZICH, RICCARDO
2013-01-01
Abstract
Particle Swarm Optimization (PSO), a robust stochastic evolutionary computational technique, has been here successfully applied to different electromagnetic optimization problems. In order to fulfill the requirement of fast convergence to get results in a very short time, a variation of original method has been proposed using the so called differentiated Meta-PSO. This paper presents the effectiveness of Meta-PSO technique in optimizing complex multidimensional problem relating to antenna engineering design implementation. To verify the robustness of this optimization tool and develop a full wave analysis, all these concepts are integrated into a case study represented by a rectangular ring antenna with proximity-coupled microstrip feed line.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
