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A microstrip ring antenna is optimized for non-invasive blood glucose monitoring. The main objective is to maximize the sensitivity of antenna w.r.t. the change of concentration of aqueous glucose solution. The parameterized antenna model and solution model are simulated in CST Microwave Studio in order to evaluate the sensitivity of the antenna design. The design process is implemented through a...
Miniaturization of UWB antennas using EM-driven optimization is investigated. We demonstrate that formulating the design problem as direct size reduction task with constraints on electrical performance parameters does not lead to optimum results due to the fact that in a typical UWB structure only a few geometry parameters explicitly determine the antenna footprint. An alternative design methodology...
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...
In this paper, a low-cost formulation of space mapping (SM) for design optimization of antenna structures is investigated. The major challenge is that low-fidelity (or coarse) antenna models are normally obtained from coarse-discretization EM simulations so that their evaluation cost cannot be neglected. Consequently, the SM algorithm has to aim at reducing both the number of fine and coarse model...
Fast and accurate replacement models (surrogates) are indispensable in the design of microwave and antenna structures. Conventional data-driven modeling of antennas is usually prohibitively expensive in terms of data acquisition due to highly nonlinear responses of typical responses (e.g., reflection coefficient versus frequency). In this paper, a technique for reduced-cost modeling is proposed. The...
A simple yet robust methodology for rapid multiobjective design optimization of antenna structures has been presented. The key component of our approach is sequential domain patching of the design space, which is a stencil-based search that aims at creating a path that connects the extreme Pareto-optimal designs, obtained by means of single-objective optimization runs. The patching process yields...
We review the implicit space mapping approach to engineering modeling and optimization. We describe space mapping and implicit space mapping concepts, outline recent advances, and discuss the relationship between implicit space mapping and other types of space mapping techniques. Recent applications and implementation are also discussed.
A technique for (electromagnetic) EM-simulation-driven design optimization of antennas is presented. Our approach exploits coarse-discretization EM simulations as the low-fidelity model of the antenna under design, which is then aligned with the high-fidelity EM antenna model to be optimized using multi-point response correction. As opposed to the simple additive response correction (so-called output...
Simple and robust optimization methodology for the simulation-driven design of microwave structures is presented. Our technique exploits a set of EM-based models of increasing discretization density that are sequentially optimized with the optimal design of the “coarser” model being the initial design for the “finer” one. The final design is refined using a polynomial-based approximation model constructed...
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