期刊
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
卷 55, 期 3, 页码 577-582出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2007.891510
关键词
antenna arrays; genetic algorithms (GAS); microstrip antennas; optimization methods; phased arrays
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.
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