Recently developed social-based algorithms for antennas optimization

In recent years there has been an increasing attention to novel evolutionary optimization techniques employed to engineering and real-world applications. Among these, the design of antennas and electromagnetic devices is a well-established field of application. This paper presents a new population based algorithm inspired by the recent explosion of social networks and their capability to drive people´s decision making process in everyday life. Early experimental studies have already proven its effectiveness in the optimized design of EM structures. Here this optimization procedure called SNO - Social Network Optimization is presented and tested in a first comparative study to prove its effectiveness and performance compared with traditional evolutionary algorithms.