?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F756%2F&rft.title=Efficient+Tiling+of+Large+Planar+Sub%E2%80%90Arrayed+Phased+Arrays+Through+Schemata%E2%80%90Driven+Evolutionary+Optimization&rft.creator=Anselmi%2C+N.&rft.creator=Rocca%2C+P.&rft.creator=Salucci%2C+M.&rft.creator=Massa%2C+A.&rft.subject=A+WC+Next+Generation+Wireless+Communications&rft.subject=M+EA+Evolutionary+Algorithms&rft.description=In+this+work%2C+the+synthesis+of+large+clustered+arrays+-+computationally+unaffordable+through+standard+stochastic+global+optimization+techniques+-+is+addressed+through+an+innovative+schemata-driven+approach.+The+proposed+design+methodology+is+based+on+the+analytic+definition+of+a+set+of+reference+tiling+arrangements+and+a+customized+genetic+algorithm+(GA)-based+strategy+which+is+able+to+effectively+and+efficiently+explore+the+solution+space+of+the+complete+tiling+configurations.+Some+representative+numerical+experiments+are+presented+in+order+to+verify+the+effectiveness+of+the+developed+synthesis+technique+for+the+tiling+of+large+planar+phased+sub-arrays+providing+optimal+side-lobe+level+(SLL)+radiation+performance.&rft.publisher=ELEDIA+Research+Center+-+University+of+Trento&rft.date=2017&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F756%2F1%2FEfficient%2520Tiling%2520of%2520Large%2520Planar%2520Sub%25E2%2580%2590Arrayed%2520Phased%2520Arrays%2520Through%2520Schemata%25E2%2580%2590Driven%2520Evolutionary%2520Optimization.pdf&rft.identifier=++Anselmi%2C+N.+and+Rocca%2C+P.+and+Salucci%2C+M.+and+Massa%2C+A.++(2017)+Efficient+Tiling+of+Large+Planar+Sub%E2%80%90Arrayed+Phased+Arrays+Through+Schemata%E2%80%90Driven+Evolutionary+Optimization.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++