@misc{elediasc12507,
            year = {2011},
          author = {Giacomo Oliveri and Andrea Massa},
           title = {GA-Enhanced ADS-Based Approach for Array Thinning},
           month = {January},
        abstract = {This study proposes a genetic algorithm (GA)-enhanced almost difference set (ADS)-based methodology to design thinned linear arrays with low-peak sidelobe levels (PSLs). The method allows one to overcome the limitations of the standard ADS approach in terms of flexibility and performances. The numerical validation, carried out in the far-field and for narrow-band signals, points out that with affordable computational efforts it is possible to design array arrangements that outperform standard ADS-based designs as well as standard GA approaches. "This paper is a postprint of a paper submitted to and accepted for publication in IET Microwaves, Antennas \& Propagation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library: http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=5714040"},
        keywords = {Array Antennas, Linear Arrays, Thinned Arrays, Almost Difference Sets, Sidelobe Control},
             url = {http://www.eledia.org/students-reports/507/}
}