A parallel implementation of seeker optimization algorithm for designing circular and concentric circular antenna arrays
We propose a parallel version of seeker optimization algorithm (SOA) for designing circular and concentric circular antenna arrays with the low sidelobe levels at a fixed beamwidth (BW). We locate the subpopulations of SOA are physically in different computers named as the slaves to improve the algorithm performance. We realize the parallelization with MPICH2 and employ 40 PCs (slaves) and 1 laptop (master) for the simulations. From maximum sidelobe levels and BW points of view, the performances of the patterns obtained by parallel SOA are very good under the constraint of physical size of antenna and dynamic range ratio.
concentric circular antenna arrays circular antenna arrays antenna array synthesis evolutionary algorithms parallel computing message passing interface