A Two-Level Genetic Algorithm for Electromagnetic Optimization

@article{Crevecoeur2010ATG,
  title={A Two-Level Genetic Algorithm for Electromagnetic Optimization},
  author={Guillaume Crevecoeur and Peter Sergeant and Luc Duprex0301 and Rik Van de Walle},
  journal={IEEE Transactions on Magnetics},
  year={2010},
  volume={46},
  pages={2585-2595}
}
Optimizing complex engineering problems may demand large computational efforts because of the use of numerical models. Global optimization can be established through the use of evolutionary algorithms, but may demand a prohibitive amount of computational time. In order to reduce the computational time, we incorporate in the global optimization procedures a physics-based fast coarse model. This paper presents a two-level genetic algorithm (2LGA) for electromagnetic optimization. This algorithm… CONTINUE READING
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