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Antenna Design With a Mixed Integer Genetic Algorithm

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1 Author(s)
Haupt, Randy L. ; Appl. Res. Lab., Pennsylvania State Univ., State College, PA

Antenna design variables, such as size, have continuous values while others, such as permittivity, have a finite number of values. Having both variable types in one problem requires a mixed integer optimization algorithm. This paper describes a genetic algorithm (GA) that works with real and/or binary values in the same chromosome. The algorithm is demonstrated on designing low side-lobe phase tapers, circularly polarized patch antennas, and identically thinned subarrays

Published in:

Antennas and Propagation, IEEE Transactions on  (Volume:55 ,  Issue: 3 )

Date of Publication:

March 2007

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