Surrogate based design optimization of multi-band antenna
Surrogate based design optimization of multi-band antenna
In this work, design optimization process of a multiband antenna via the use of Artificial Neural Network (ANN) based surrogate model and meta-heuristic optimizers is studied. For this mean firstly, by using Latin-Hyper cube sampling method a data set based on 3D full wave EM simulator is generated to train an ANN based model. By using the ANN based surrogate model and a meta-heuristic optimizer Invasive Weed Optimization (IWO), design optimization of a multi-band antenna for (I) 2.4-3.6 GHz for ISM, LTE, and 5G sub frequencies, (II) 9-10 GHz for X band applications is aimed. Then the obtained results are compared with the simulated results of 3D EM simulation tool CST. Results show, that the proposed methodology provides a computationally efficient design optimization process for design optimization of multi-band antennas. © 2021 Applied Computational Electromagnetics Society.
- Istanbul University Turkey
- İskenderun Technical University Turkey
- Yıldız Technical University Turkey
Artificial neural network, Artificial Neural Network, Design, Surrogate modeling, Network-based, Design optimization, Heuristic optimizers, Metaheuristic, Engineering, 5G mobile communication systems, Microwave antennas, Heuristic algorithms, Microwave Filters, Surface Approximation, Physics, Multi-band antenna optimization, Work design, Simulation Driven Design, Multiband antennas, Computational electromagnetics, Multi-band antenna Optimization, Invasive weed optimization, Antenna optimization, Hyper-cubes, Telecommunications, Neural networks
Artificial neural network, Artificial Neural Network, Design, Surrogate modeling, Network-based, Design optimization, Heuristic optimizers, Metaheuristic, Engineering, 5G mobile communication systems, Microwave antennas, Heuristic algorithms, Microwave Filters, Surface Approximation, Physics, Multi-band antenna optimization, Work design, Simulation Driven Design, Multiband antennas, Computational electromagnetics, Multi-band antenna Optimization, Invasive weed optimization, Antenna optimization, Hyper-cubes, Telecommunications, Neural networks
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