Multi-objective optimization for antenna design

M. Poian, S. Poles, F. Bernasconi (ESTECO), E. Leroux (CST), W. Steffé, M. Zolesi (Thales Alenia Space)

Once the integration of the model in the optimization environment is done, all the optimization capabilities can be applied to improve the performance of the antenna. The optimization is a full batch process (no human intervention during the run phase), but can be constantly monitored from a “run-log” graphic console. Today multi-core PCs and clusters are able to carry out multi-objectives optimization of a complex model by a reasonable computational time. Thanks to its clear, well-defined, and non-weighted approach, multi-objective optimization helps in understanding the physics of the problem while exploring the design space, looking for the set of optimal configurations.