Multi-objective surrogate-Assisted optimization applied to patch antenna design

John A. Easum, Jogender Nagar, Douglas Henry Werner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

In this paper, we present a multi-objective optimization technique for designing a patch antenna on a finite ground plane by employing a surrogate model which is formulated by utilizing various regression and model selection techniques. The method presented enables simultaneous training and optimization of the surrogate model with few initial samples required. The techniques used enable faster convergence of the Pareto set when compared to a traditional multi-objective optimization scheme.

Original languageEnglish (US)
Title of host publication2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages339-340
Number of pages2
ISBN (Electronic)9781538632840
DOIs
StatePublished - Oct 18 2017
Event2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017 - San Diego, United States
Duration: Jul 9 2017Jul 14 2017

Publication series

Name2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
Volume2017-January

Other

Other2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017
CountryUnited States
CitySan Diego
Period7/9/177/14/17

All Science Journal Classification (ASJC) codes

  • Radiation
  • Computer Networks and Communications
  • Instrumentation

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