Unequally spaced arrays synthesis using Self-adaptive Differential Evolution. Goudos, S., K., Nanos, A., A., Samaras, T., Siakavara, K., Vafiadis, E., & Sahalos, J., N. In Proceedings of the 5th European Conference on Antennas and Propagation, EUCAP 2011, pages 983-986, 2011. abstract bibtex In this paper we present uniformly excited unequally spaced linear-array synthesis with sidelobe suppression. We apply different evolutionary algorithms like Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) variants to position-only and position-phase synthesis. The DE algorithms include the common DE/rand/1/bin and the Self-adaptive strategies. The results on different problems show that the DE algorithms outperform the other algorithms in terms of finding best optima. The Self-adaptive DE produces similar or better results than the classical DE algorithm. The obtained results indicate the advantages of this approach. © 2011 EurAAP.
@inproceedings{
title = {Unequally spaced arrays synthesis using Self-adaptive Differential Evolution},
type = {inproceedings},
year = {2011},
pages = {983-986},
id = {609db08c-ce41-3c0c-822e-058bdece2b5d},
created = {2020-02-29T16:57:45.077Z},
file_attached = {false},
profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
last_modified = {2023-02-11T18:54:04.730Z},
read = {false},
starred = {false},
authored = {true},
confirmed = {true},
hidden = {false},
citation_key = {Goudos2011},
private_publication = {false},
abstract = {In this paper we present uniformly excited unequally spaced linear-array synthesis with sidelobe suppression. We apply different evolutionary algorithms like Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) variants to position-only and position-phase synthesis. The DE algorithms include the common DE/rand/1/bin and the Self-adaptive strategies. The results on different problems show that the DE algorithms outperform the other algorithms in terms of finding best optima. The Self-adaptive DE produces similar or better results than the classical DE algorithm. The obtained results indicate the advantages of this approach. © 2011 EurAAP.},
bibtype = {inproceedings},
author = {Goudos, S. K. and Nanos, A. A. and Samaras, T. and Siakavara, K. and Vafiadis, E. and Sahalos, J. N.},
booktitle = {Proceedings of the 5th European Conference on Antennas and Propagation, EUCAP 2011}
}
Downloads: 0
{"_id":"c64Kto5vPA2XQySni","bibbaseid":"goudos-nanos-samaras-siakavara-vafiadis-sahalos-unequallyspacedarrayssynthesisusingselfadaptivedifferentialevolution-2011","authorIDs":["2XqMefnPdDzAaq4jF","4dveEAPCLu5uXPLgq","4gqnrvHsN4AtrbeZY","5e5a9d496ec9eadf0100005b","5e5aa6836ec9eadf010000b2","5e5ab1a056d8d3de01000028","5e5ab62256d8d3de01000063","5e5b1d5c6e568ade010000a7","5e5b21a42aebc8df01000012","5e5b71cb502fdadf010000ac","5e5bed13d49321e00100005e","5e5bfb20d49321e0010000d0","5e5c20ea15d8f5de01000035","5e5d297b168391de01000127","5e5d5c51ad47bcde010000ab","5e5dc11e3d34a1de01000125","5e5e179c1e54a8df0100003a","5e5e19ef1e54a8df01000150","5e5f68f95766d9df0100000d","5e69962a20d4e9de0100035c","5e6aae83f216f6de0100016c","5e6ba1cf38517edf01000081","8JWAwGe89i6FDSusS","CzNYrbmSiM5ggvEek","DfYYnW26gBzKGstL6","DvJgbXoxw2N793EiK","EL5e4hyw4tZNgifFC","Exgs99TKE5ravgbXk","HqMeRjszetkzcxpMm","KYa4NtbNu8WWQ3zj4","LHRhnPXfSNBPPeju6","N9TqwyvsXrGJuYNNz","NfKJPEur6qtuSPSBq","NovZnwFawZ4j3eMu9","P3ypqHS5FCtKwe3Rk","PALBMENprW6ujvqPN","PgJmPny4wu2hP2RaD","PugCeTFDTpWcYTyBM","QZCjJDFsG7YjSk8jw","QfAyfZTv3xbBRoKS9","TRTAQH5bYdJWZiX2u","ZGonhjrpn8oWQoCcs","aTJc6PLhnXcjukiDa","diWJT7Tvic6NP3uC8","eZkEX3YxrbC4ATRvb","fkp7b4ZuFwWy9Kcbk","gn2uWdZaskH3Jghwf","hmvcWxejuoZWEY2kH","i2yvgfg67iSNcwhu6","iSLSdT37boFTiafRu","kNY8Bj2H83xg2oWD3","mfWjWXLaXfzsfNNg7","nRToC72KTGbZANA7c","nrmJ6ESaE2WoXz9KY","pHKWvriuYgHigZexz","pkpo5jspMWsjdpdDn","rGJPSzaSGjQE5twh5","rfrhxKgCZeR6bCgii","uC35tYc9xgBX7xeCk","vzzuNtaqACDY3khYo","w9gmQiJheugA9X7q2","wLj5YcYyieD78TWvv","wkTPwzAWdWysivwCW","wmahejA269iwgWmAH"],"author_short":["Goudos, S., K.","Nanos, A., A.","Samaras, T.","Siakavara, K.","Vafiadis, E.","Sahalos, J., N."],"bibdata":{"title":"Unequally spaced arrays synthesis using Self-adaptive Differential Evolution","type":"inproceedings","year":"2011","pages":"983-986","id":"609db08c-ce41-3c0c-822e-058bdece2b5d","created":"2020-02-29T16:57:45.077Z","file_attached":false,"profile_id":"c69aa657-d754-373c-91b7-64154b7d5d91","last_modified":"2023-02-11T18:54:04.730Z","read":false,"starred":false,"authored":"true","confirmed":"true","hidden":false,"citation_key":"Goudos2011","private_publication":false,"abstract":"In this paper we present uniformly excited unequally spaced linear-array synthesis with sidelobe suppression. We apply different evolutionary algorithms like Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) variants to position-only and position-phase synthesis. The DE algorithms include the common DE/rand/1/bin and the Self-adaptive strategies. The results on different problems show that the DE algorithms outperform the other algorithms in terms of finding best optima. The Self-adaptive DE produces similar or better results than the classical DE algorithm. The obtained results indicate the advantages of this approach. © 2011 EurAAP.","bibtype":"inproceedings","author":"Goudos, S. K. and Nanos, A. A. and Samaras, T. and Siakavara, K. and Vafiadis, E. and Sahalos, J. N.","booktitle":"Proceedings of the 5th European Conference on Antennas and Propagation, EUCAP 2011","bibtex":"@inproceedings{\n title = {Unequally spaced arrays synthesis using Self-adaptive Differential Evolution},\n type = {inproceedings},\n year = {2011},\n pages = {983-986},\n id = {609db08c-ce41-3c0c-822e-058bdece2b5d},\n created = {2020-02-29T16:57:45.077Z},\n file_attached = {false},\n profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},\n last_modified = {2023-02-11T18:54:04.730Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Goudos2011},\n private_publication = {false},\n abstract = {In this paper we present uniformly excited unequally spaced linear-array synthesis with sidelobe suppression. We apply different evolutionary algorithms like Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) variants to position-only and position-phase synthesis. The DE algorithms include the common DE/rand/1/bin and the Self-adaptive strategies. The results on different problems show that the DE algorithms outperform the other algorithms in terms of finding best optima. The Self-adaptive DE produces similar or better results than the classical DE algorithm. The obtained results indicate the advantages of this approach. © 2011 EurAAP.},\n bibtype = {inproceedings},\n author = {Goudos, S. K. and Nanos, A. A. and Samaras, T. and Siakavara, K. and Vafiadis, E. and Sahalos, J. N.},\n booktitle = {Proceedings of the 5th European Conference on Antennas and Propagation, EUCAP 2011}\n}","author_short":["Goudos, S., K.","Nanos, A., A.","Samaras, T.","Siakavara, K.","Vafiadis, E.","Sahalos, J., N."],"biburl":"https://bibbase.org/service/mendeley/c69aa657-d754-373c-91b7-64154b7d5d91","bibbaseid":"goudos-nanos-samaras-siakavara-vafiadis-sahalos-unequallyspacedarrayssynthesisusingselfadaptivedifferentialevolution-2011","role":"author","urls":{},"metadata":{"authorlinks":{"goudos, s":"https://sog.webpages.auth.gr/"}},"downloads":0},"bibtype":"inproceedings","creationDate":"2020-02-29T17:20:09.630Z","downloads":0,"keywords":[],"search_terms":["unequally","spaced","arrays","synthesis","using","self","adaptive","differential","evolution","goudos","nanos","samaras","siakavara","vafiadis","sahalos"],"title":"Unequally spaced arrays synthesis using Self-adaptive Differential Evolution","year":2011,"biburl":"https://bibbase.org/service/mendeley/c69aa657-d754-373c-91b7-64154b7d5d91","dataSources":["fzZ7NGJYWjrSpYPRm","ya2CyA73rpZseyrZ8","2252seNhipfTmjEBQ"]}