Repozytorium publikacji - Politechnika Gdańska

A computationally efficient procedure for multi-objective optimization of antenna structures is presented. In our approach, a response surface approximation (RSA) model created from sampled coarse-discretization EM antenna simulations is utilized to yield an initial set of Pareto-optimal designs using a multi-objective evolutionary algorithm. The final Pareto front representation for the high-fidelity model is obtained using surrogate-based optimization techniques. A critical stage of the design process is an initial reduction of the design space aimed at estimating the region containing the Pareto set, which allows for low-cost construction of the RSA model even if the number of designable parameters is large. Illustration example is provided. An importance of the design space reduction is also demonstrated.

Autorzy

• dr hab. inż. Adrian Bekasiewicz link otwiera się w nowej karcie ,
• prof. dr inż. Sławomir Kozieł link otwiera się w nowej karcie ,
• prof. dr hab. inż. Włodzimierz Zieniutycz link otwiera się w nowej karcie