A new evolutionary algorithm for sparse array optimization

Evolutionary optimization is a growing field of research. The reasons of this growth are related with the flexibility of this optimization system that makes it usable in many fields of engineering. In this paper a new algorithm will be introduced: Leadership Based Optimization (LBO). This algorithm...

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Veröffentlicht in:2016 10th European Conference on Antennas and Propagation (EuCAP) S. 1 - 4
Hauptverfasser: Bardi, Francesco, Grimaccia, Francesco, Mussetta, Marco, Niccolai, Alessandro, Zich, Riccardo E.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: European Association of Antennas and Propagation 01.04.2016
Schlagworte:
Electromagnetics
Evolutionary computation
Genetic algorithms
History
Optimization
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Beschreibung
Zusammenfassung:Evolutionary optimization is a growing field of research. The reasons of this growth are related with the flexibility of this optimization system that makes it usable in many fields of engineering. In this paper a new algorithm will be introduced: Leadership Based Optimization (LBO). This algorithm will be tested on the optimization of the array factor of a sparse array. This problem, due to the large number of variables and to its non-linearity is a good test case to assess the performance of the new algorithm.
DOI:10.1109/EuCAP.2016.7481397