Modified Compact Genetic Algorithm for Thinned Array Synthesis
(2015) IEEE Antennas and Wireless Propagation Letters — Vol. 15, p. 1105-1108 (2015)
Files
No attached file found for this publication.
Details
- Authors
- et. al.
- Abstract
- In this letter, a new optimization algorithm, the Modified compact Genetic Algorithm (M-cGA) is introduced and applied to the synthesis of thinned arrays. The M-cGA has been derived from the compact Genetic Algorithm (cGA), properly modified and improved by implementing more than one probability vector (PV) and adding suitable learning scheme between these PVs. The so-obtained algorithm has been applied to the optimized synthesis of different-size linear and planar thinned arrays: In all the considered cases, it outperforms not only the cGA, but also the other optimization schemes previously applied to this kind of problem, both in terms of goodness of the solution (minimization of the peak sidelobe level) and of computational cost.
- Affiliations
Citations
Bui Van Ha, Marco Mussetta, Paola Pirinoli, Riccardo Zich, & et al. (2015). Modified Compact Genetic Algorithm for Thinned Array Synthesis. IEEE Antennas and Wireless Propagation Letters, 15, 1105-1108. https://doi.org/10.1109/LAWP.2015.2494839 (Original work published 2015)