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Pareto ranking bisection algorithm for rapid multi-objective design of antenna structures

In this paper, a novel technique for fast multi-objective design optimization of antenna structures has been presented. In our approach, the initial approximation of the Pareto front is obtained using a bisection algorithm which performs sequential partitioning of the design space and refines the new designs by means of poll-type search involving Pareto ranking. This stage of the optimization process is executed at the level of low-fidelity EM antenna model. The final Pareto set is found using surrogate-assisted techniques. The approach is demonstrated using a UWB monopole antenna.