@techreport{elediasc12770,
            year = {2018},
       publisher = {ELEDIA Research Center - University of Trento},
           title = {ADS?Guided Design of Planar Thinned Phased Arrays Through Genetic Optimization},
          author = {M. Salucci and G. Gottardi and N. Anselmi and G. Oliveri},
            type = {Technical Report},
        keywords = {Planar Arrays Thinning, Almost Difference Sets, Genetic Algorithms, Array Synthesis},
             url = {http://www.eledia.org/students-reports/770/},
        abstract = {This work presents an innovative hybrid approach for synthesizing thinned planar phased arrays. The a-priori information provided  by analytical almost difference sets (ADSs) is profitably exploited by a customized stochastic optimization approach based on genetic algorithms (GAs). Such an ADSGA approach is able to overcome the current limitations of state-of-the-art techniques based on ADSs. Some numerical results are shown in order to assess the potentialities, as well as the limitations, of the proposed design methodology.}
}