relation: http://www.eledia.org/students-reports/767/
title: A Novel Approach for the Design of Planar Thinned Arrays Based on Genetic Algorithms and Almost Difference Sets 
creator: Salucci, M.
creator: Gottardi, G.
creator: Anselmi, N.
creator: Oliveri, G.
subject: A WC Next Generation Wireless Communications
subject: M AT Analytic Techniques
subject: M EA Evolutionary Algorithms
description: This work presents a novel hybrid procedure that is able to combine the efficiency of analytical almost difference sets (ADSs) designs and the effectiveness of genetic algorithm (GA)-based search strategies for the design of thinned planar arrays. The proposed approach is able to overcome the current limitations of state-of-the-art analytical thinning methods for planar apertures.   Some numerical examples will be shown in order to  verify the features and the potentialities of the proposed ADSGA design technique.  
publisher: ELEDIA Research Center - University of Trento
date: 2018
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/767/1/A%20Novel%20Approach%20for%20the%20Design%20of%20Planar%20Thinned%20Arrays%20Based%20on%20Genetic%20Algorithms%20and%20Almost%20Difference%20Sets%20.pdf
identifier:   Salucci, M. and Gottardi, G. and Anselmi, N. and Oliveri, G.  (2018) A Novel Approach for the Design of Planar Thinned Arrays Based on Genetic Algorithms and Almost Difference Sets.  Technical Report. ELEDIA Research Center - University of Trento.