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Comparison between genetic and gradient-based optimization algorithms for solving electromagnetics problems

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1 Author(s)
R. Haupt ; HQ USAFA/DFEE, USAF Acad., CO, USA

This paper compares the application of genetic algorithms and traditional gradient-based algorithms to various optimization problems in electromagnetics. Gradient algorithms work well for a small number of continuous parameters. Genetic algorithms are best for a large number of quantized parameters. Both antenna array and scattering optimization examples are shown

Published in:

IEEE Transactions on Magnetics  (Volume:31 ,  Issue: 3 )