Voronoi tessellation optimization: a local/global optimization hybrid for electromagnetics design

Ronald P. Jenkins, Douglas H. Werner

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

Abstract

This paper introduces a new hybrid local-global optimizer called the Voronoi Tessellation Optimization (VTO) algorithm which leverages precomputed gradients and a space partitioning technique to improve single objective convergence speed and robustness. VTO has been herein compared with other well-known optimization algorithms used in electromagnetics and optics and has demonstrated commensurate or improved performance on two multimodal test problems.

Original languageEnglish (US)
Title of host publication2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1031-1032
Number of pages2
ISBN (Electronic)9781728106922
DOIs
StatePublished - Jul 2019
Event2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Atlanta, United States
Duration: Jul 7 2019Jul 12 2019

Publication series

Name2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

Conference

Conference2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019
CountryUnited States
CityAtlanta
Period7/7/197/12/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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    Jenkins, R. P., & Werner, D. H. (2019). Voronoi tessellation optimization: a local/global optimization hybrid for electromagnetics design. In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings (pp. 1031-1032). [8889216] (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APUSNCURSINRSM.2019.8889216