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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| Published in: | 2016 10th European Conference on Antennas and Propagation (EuCAP) pp. 1 - 4 |
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| Main Authors: | , , , , |
| Format: | Conference Proceeding |
| Language: | English |
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European Association of Antennas and Propagation
01.04.2016
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Francesco surname: Bardi fullname: Bardi, Francesco organization: Dept. of Energy, Politec. di Milano, Milan, Italy – sequence: 2 givenname: Francesco surname: Grimaccia fullname: Grimaccia, Francesco organization: Dept. of Energy, Politec. di Milano, Milan, Italy – sequence: 3 givenname: Marco surname: Mussetta fullname: Mussetta, Marco organization: Dept. of Energy, Politec. di Milano, Milan, Italy – sequence: 4 givenname: Alessandro surname: Niccolai fullname: Niccolai, Alessandro organization: Dept. of Energy, Politec. di Milano, Milan, Italy – sequence: 5 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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