2013 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2013
ABSTRACT Particle Swarm Optimization (PSO), a robust stochastic evolutionary computational techni... more 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.
2014 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2014
Thanks to the advantage of low profile and low cost, microstrip ring antenna design has been an i... more Thanks to the advantage of low profile and low cost, microstrip ring antenna design has been an interesting and challenging issue in modern engineering society. The trade-off among all the degrees of freedom becomes quite complex and direct antenna synthesis by full-wave analysis are often not applicable. In optimization scheme, the associated cost function by computational approach is always expensive and time-consuming. Artificial Neural Network (ANN) has been exploit as a modeling methodology in Electromagnetic field in recent years. In this article, a new approach with the aim of boosting “online-trading information” between the global optimizer and ANN surrogate model will be discussed.
2013 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2013
ABSTRACT Particle Swarm Optimization (PSO), a robust stochastic evolutionary computational techni... more 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.
2014 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2014
Thanks to the advantage of low profile and low cost, microstrip ring antenna design has been an i... more Thanks to the advantage of low profile and low cost, microstrip ring antenna design has been an interesting and challenging issue in modern engineering society. The trade-off among all the degrees of freedom becomes quite complex and direct antenna synthesis by full-wave analysis are often not applicable. In optimization scheme, the associated cost function by computational approach is always expensive and time-consuming. Artificial Neural Network (ANN) has been exploit as a modeling methodology in Electromagnetic field in recent years. In this article, a new approach with the aim of boosting “online-trading information” between the global optimizer and ANN surrogate model will be discussed.
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