Title :
Comparison between genetic and gradient-based optimization algorithms for solving electromagnetics problems
Author_Institution :
HQ USAFA/DFEE, USAF Acad., CO, USA
fDate :
5/1/1995 12:00:00 AM
Abstract :
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
Keywords :
electromagnetism; genetic algorithms; optimisation; electromagnetics problems; genetic optimization algorithms; gradient-based optimization algorithms; Antenna arrays; Binary sequences; Cost function; Electromagnetic scattering; Genetic algorithms; Genetic mutations; Optimization methods; Radar cross section; Radar scattering; Scattering parameters;
Journal_Title :
Magnetics, IEEE Transactions on
