Effective multi-goal optimization of CAD derived mobile phones using novel genetic algorithms

In recent years, full-wave numerical simulation has become an effective means to support RF engineers in the analysis and design of small and highly efficient mobile devices. Nevertheless automated optimization was so far restricted to simple structures due to large number of required simulations for multi-goal optimization. This paper presents a novel approach which allows to perform the effective optimization of entire CAD derived devices, embedded in complex environments. The new optimizer combines the advantages of enhanced Genetic Algorithms with the unique and superior speed of FDTD hardware acceleration. On the basis of a commercial mobile phone, the applied methods are outlined and demonstrated whereas the devices´ antenna is optimized with respect to return loss/matching, radiation performance and SAR under real usage conditions, i.e., including head and hand. In addition, our optimization technique runs a sensitivity study for each optimized parameter in parallel.