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In this paper, a methodology for fast re-design of antenna structures with respect to substrate parameters has been presented. The key component of our technique is an inverse surrogate model that is constructed using reference designs representing optimum antenna geometries for selected values of the substrate permittivity and thicknesses. The surrogate returns the values of antenna dimensions corresponding...
In this work, a cost-efficient approach to surrogate modeling of input characteristics of dual-band antennas is presented. Reduction of the number of necessary training samples is achieved by constructing the surrogate at the level of suitably defined characteristic points of the antenna response, which exhibits less nonlinear behavior (as a function of antenna geometry parameters) compared to S-parameters...
The paper presents a design of an ultra-wideband (UWB) antenna with an integrated balun. A fully planar balun interfacing the microstrip input of the structure to the coplanar stripline (CPS) input of the dipole antenna is introduced. The electromagnetic (EM) model of the structure includes the dipole, the balun, and the microstrip input to account for interactions over the UWB band. The EM model...
Cost-efficient multi-objective design of antenna structures is presented. Our approach is based on design space reduction algorithm using auxiliary single-objective optimization runs and coordinate system rotation. The initial set of Pareto-optimal solutions is obtained by optimizing a response surface approximation model established in the reduced space using coarse-discretization EM simulation data...
The paper presents a computationally-efficient methodology for multi-objective optimization of antenna structures. In our approach, the set of designs representing the best possible trade-offs between conflicting objectives is obtained by moving along the Pareto front and identifying the subsequent Pareto-optimal solutions using surrogate-based optimization techniques. For the sake of computational...
A technique for fast multi-objective antenna optimization is introduced. A kriging interpolation surrogate constructed from sampled coarse-mesh EM simulations is utilized by multi-objective evolutionary algorithm (MOEA) to obtain the initial Pareto front approximation. The surrogate is defined in a subset of the original design space, determined by means of independently optimized individual objectives...
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