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In design optimization problems, the robustness of a solution is essential to be considered when it is going to be implemented or used in real world. Robustness can be defined in different ways, but in this work, it is considered as the property of a solution’s performance to be as insensitive as possible to perturbations in that solution. Optimizing both quality and robustness is generally addressed...
Multiobjective optimization evolutionary algorithm was used to find a set of optimum designs for non-uniform helical antennas, with turns varying from 3 to 9. The antenna parametrization proposed herein allows radii continuous variation with independent parameter per turn. The optimization procedure of antennas designs aimed to: a) maximize axial gain; b) minimize length; c) minimize impedance matching...
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