An integer genetic algorithm for optimal clustering in phased array antenna

Abstract : A subarraying technique based on a novel genetic algorithm (GA) whose operators have been suitably customized in order to deal with integer variables is presented in this paper. The method is aimed to prevent the generation of high-level quantization lobes in the scanned radiation pattern by properly combining a given number of clusters selected from an arbitrarily defined alphabet of tiles of various shapes. A representative numerical result is reported in order to show advantages and drawbacks of the proposed methodology.
Type de document :
Communication dans un congrès
International Applied Computational Electromagnetics Society Symposium - Italy (ACES), 2017 , Mar 2017, florence, Italy. pp.1-2, 2017, 〈10.23919/ROPACES.2017.7916360〉
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https://hal.archives-ouvertes.fr/hal-01583475
Contributeur : Andrea Massa <>
Soumis le : jeudi 7 septembre 2017 - 12:41:04
Dernière modification le : jeudi 5 avril 2018 - 12:30:05

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Lorenzo Poli, Giacomo Oliveri, Andrea Massa. An integer genetic algorithm for optimal clustering in phased array antenna. International Applied Computational Electromagnetics Society Symposium - Italy (ACES), 2017 , Mar 2017, florence, Italy. pp.1-2, 2017, 〈10.23919/ROPACES.2017.7916360〉. 〈hal-01583475〉

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