@conference {17_NEMO_EDU_JUAN_CAD2_ANTENNA, title = {Slotted Waveguide Antenna Design by Segmented Simulation and Multi-Objective Genetic Algorithm}, booktitle = {IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave and Terahertz Applications (NEMO)}, year = {2017}, month = {May}, abstract = {A progressive-wave antenna automated design technique is presented in this work. By means of a simulation method based on spherical wave expansion and generalized scattering matrix, full-wave analysis of a slotted waveguide array can be efficiently performed. Since coupling effects are considered in the simulation, a final antenna design can be obtained without any further modification required on it. In order to achieve such design, a multi-objective optimization based on Nondominated Sorting Genetic Algorithm Version III (NSGA-III) state-of-theart genetic algorithm is carried out. At the working frequency of 17 GHz, final design provides a 16.6 dBi gain, Side-Lobe Levels lower than -18.3 dB and a 0.6\% power waste at the output port. A -15-dB matching bandwidth of an 8.8\% is obtained. The results have been validated with commercial-software simulations.}, author = {E Garcia-Marin and J C{\'o}rcoles and J Rubio and J L Masa-Campos and P Sanchez-Olivares} }