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.

A new evolutionary algorithm for sparse array optimization

GRIMACCIA, FRANCESCO;MUSSETTA, MARCO;NICCOLAI, ALESSANDRO;ZICH, RICCARDO
2016-01-01

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.
2016 10th European Conference on Antennas and Propagation, EuCAP 2016
9788890701863
Radiation; Computer Networks and Communications; Instrumentation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1022609
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