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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Vydané v:2016 10th European Conference on Antennas and Propagation (EuCAP) s. 1 - 4
Hlavní autori: Bardi, Francesco, Grimaccia, Francesco, Mussetta, Marco, Niccolai, Alessandro, Zich, Riccardo E.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: European Association of Antennas and Propagation 01.04.2016
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Electromagnetics
Evolutionary computation
Genetic algorithms
History
Optimization
Social network services
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Abstract 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.
AbstractList 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.
Author Zich, Riccardo E.
Mussetta, Marco
Bardi, Francesco
Grimaccia, Francesco
Niccolai, Alessandro
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  organization: Dept. of Energy, Politec. di Milano, Milan, Italy
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  givenname: Francesco
  surname: Grimaccia
  fullname: Grimaccia, Francesco
  organization: Dept. of Energy, Politec. di Milano, Milan, Italy
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  givenname: Marco
  surname: Mussetta
  fullname: Mussetta, Marco
  organization: Dept. of Energy, Politec. di Milano, Milan, Italy
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  givenname: Alessandro
  surname: Niccolai
  fullname: Niccolai, Alessandro
  organization: Dept. of Energy, Politec. di Milano, Milan, Italy
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  givenname: Riccardo E.
  surname: Zich
  fullname: Zich, Riccardo E.
  email: riccardo.zich@polimi.it
  organization: Dept. of Energy, Politec. di Milano, Milan, Italy
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Snippet 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...
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SubjectTerms Electromagnetics
Evolutionary computation
Genetic algorithms
History
Optimization
Social network services
Title A new evolutionary algorithm for sparse array optimization
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